Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...) are presumptuous. After elaborating this moral concern, I explore the possibility that carefully procuring the training data for image recognition systems could ensure that the systems avoid the problem. The lesson of this paper extends beyond just the particular case of image recognition systems and the challenge of responsibly identifying a person’s intentions. Reflection on this particular case demonstrates the importance (as well as the difficulty) of evaluating machine learning systems and their training data from the standpoint of moral considerations that are not encompassed by ordinary assessments of predictive accuracy. (shrink)

A photographic image is said to provide evidence of a photographed scene because it is a causal imprint of reflected light, an indexical trace of real objects and events. Though widely established in the history, theory, and philosophy of photography, this traditional imprinting model must be rejected because it relies on a “single-stage” misconception of the photographic process: the idea that a photographic image comes into existence at the time of exposure. In its place, a “multistage” account properly (...) articulates different production stages, such as registering and rendering, that are relevant to understanding the relation between a photographic image and the photographed scene. By denying that any photographic image is a causal imprint, the multistage approach proposes a more demanding evaluation of photographic evidence. This has implications for documentary film and photojournalism, along with specialized applications such as forensics, surveillance, and face-recognition technology. (shrink)

‘The Image of Thought’ could be considered to be the most important piece of writing in the entire Deleuzian corpus. This is the chapter of Difference and Repetition that several decades later, Deleuze claims is the ‘most necessary and the most concrete’ (Deleuze 1994: xvii) section of the book, and the one that provides a basis for his later work with Guattari. Here, Deleuze engages with two basic issues. First, he separates out his conception of thinking, and with it, (...) philosophy, from prior philosophical approaches, explaining why the difference of his philosophy from prior systems itself differs from the traditional relationship between philosophical positions. Second, he raises the question of how one should begin to philosophise. As we will see, philosophy often operates by the recognition of implicit presuppositions in prior thinkers, and their refutation. Descartes, for instance, criticises Aristotle for presupposing the transparency of categories such as rational and animal. Kant, in turn, criticises Descartes for presupposing the determinability of his own foundational moment, the cogito. If we see the development of philosophy as the unmasking and critique of presuppositions of prior systems, then the endpoint of philosophy will be a system entirely without presuppositions. This is the goal Hegel aims at with his system of absolute idealism. Deleuze’s claim is that such a model of the progress of philosophy itself operates within one overarching assumption: the good will of thinking. In this essay, I want to relate these questions of thinking and beginnings to the work of one of Deleuze’s predecessors. Deleuze writes of Ludwig Feuerbach that ‘Feuerbach is among those who have pursued farthest the problem of where to begin.’ (Deleuze 1994: 319) As we shall see, prefiguring Deleuze, Feuerbach accuses Hegel of operating within ‘an image of Reason’. While Feuerbach is famous as a precursor of Marx, and for his critique of traditional accounts of religion, I want to here focus on an early piece by Feuerbach, his Critique of Hegelian Philosophy. Here Feuerbach sets out the limitations of traditional philosophical accounts, and provides the groundwork for his own later materialism. Deleuze discovered Feuerbach through his friend Althusser’s translation of his work, published in 1960. While many of the intuitions behind Deleuze’s critique of the image of thought can be found within a broader pantheon of thinkers, including Nietzsche, Bergson, and Foucault, the specific mechanics of Deleuze’s criticism bear a striking resemblance to the formulation of the critique of philosophy in Feuerbach’s earlier thought. I want to explore this connection, first by looking at the dialectical interrelation of two thinkers, Descartes and Hegel, to get a sense for how criticism in philosophy typically operates. I then want to move on to look at Feuerbach’s critique of Hegel and philosophy more generally, drawing out several aspects that will be taken up by Deleuze himself. I will then look at some of the ways in which Deleuze goes beyond Feuerbach by recognising some of the limitations that persist in Feuerbach’s own analysis. I will conclude by showing how Deleuze’s desire to think the two common acceptations of aesthetics together (the artistic and the sensible) bring Feuerbach into relation with an unexpected figure: the playwright and poet, Antonin Artaud. (shrink)

Investigators increasingly need high quality face photographs that they can use in service of their scholarly pursuits—whether serving as experimental stimuli or to benchmark face recognition algorithms. Up to now, an index of known face databases, their features, and how to access them has not been available. This absence has had at least two negative repercussions: First, without alternatives, some researchers may have used face databases that are widely known but not optimal for their research. Second, a reliance on (...) databases comprised only of young white faces will lead to science that isn't representative of all the people whose tax contributions, in many cases, make that research possible. The “Face Image Meta-Database” (fIMDb) provides researchers with the tools to find the face images best suited to their research, with filters to locate databases with people of a varied racial and ethnic backgrounds and ages. Problems of representation in face databases are not restricted to race and ethnicity or age – there is a dearth of databases with faces that have visible differences (e.g., scars, port wine stains, and cleft lip and palate). A well-characterized database is needed to support programmatic research into perceivers' attitudes, behaviors, and neural responses to anomalous faces. The “ChatLab Facial Anomaly Database” (CFAD) was constructed to fill this gap, with photographs of faces with visible differences of various types, etiologies, sizes, locations, and that depict individuals from various ethnic backgrounds and age groups. Both the fIMDb and CFAD are available from cliffordworkman[dot]com/resources/. (shrink)

This paper proposes a parallel between the theories of pictorial representation put forward by Edmund Husserl and Richard Wollheim. By doing so, it aims to facilitate a dialogue that can provide some new elements for an appropriate understanding of threefold seeing-in. The first section offers a comprehensive interpretation of Husserl’s theory of image-consciousness. This experience is considered a threefold perceptual phantasy, different from perception and sign-consciousness. The second section presents a review of Wollheim’s theory of twofold seeing-in and addresses (...) a possible ambiguity in his notion of thing represented. Finally, the third section discusses two topics that result from this parallel: first, the characteristics of the configurational and recognitional folds in a seeing-in experience, and second, the possibility of their ‘mixture’ with phantasy. As a result, I propose a different account of threefold seeing-in: I suggest that the configurational and the recognitional folds should be considered aspects or intentions of seeing-in, and that the configurational aspect corresponds to the intention to the image-object. (shrink)

Mechanistic explanations satisfy widely held norms of explanation: the ability to manipulate and answer counterfactual questions about the explanandum phenomenon. A currently debated issue is whether any nonmechanistic explanations can satisfy these explanatory norms. Weiskopf argues that the models of object recognition and categorization, JIM, SUSTAIN, and ALCOVE, are not mechanistic yet satisfy these norms of explanation. In this article I argue that these models are mechanism sketches. My argument applies recent research using model-based functional magnetic resonance imaging, a (...) novel neuroimaging method whose significance for current debates on psychological models and mechanistic explanation has yet to be explored. (shrink)

Aesthetic evaluations of human bodies have important implications for moral recognition and for individuals’ access to social and material goods. Unfortunately, there is a widespread aesthetic disregard for non-white bodies. Aesthetic evaluations depend on the aesthetic properties we regard objects as having. And it is widely agreed that aesthetic properties are directly accessed in our experience of aesthetic objects. How, then, might we explain aesthetic evaluations that systematically favour features associated with white identity? Critical race philosophers, like Alia Al-Saji, (...) Mariana Ortega, Paul C. Taylor, and George Yancy, argue that this is because the perception of racialized bodies is affected by the social structures in which they are appreciated. The aim of this paper is to propose how social structures can affect aesthetic perception. I argue that mental imagery acquired through the interaction with aesthetic phenomena structures the perception of non-aesthetic properties of bodies, so that aesthetic properties consistent with racist stereotypes are attributed to individuals. (shrink)

Facial Expression conveys non-verbal cues, which plays an important role in interpersonal relations. The Cognitive Emotion AI system is the process of identifying the emotional state of a person. The main aim of our study is to develop a robust system which can detect as well as recognize human emotion from live feed. There are some emotions which are universal to all human beings like angry, sad, happy, surprise, fear, disgust and neutral. The methodology of this system is based on (...) two stages- facial detection is done by extraction of Haar Cascade features of a face using Viola Jones algorithm and then the emotion is verified and recognized using Artificial Intelligence Techniques. The system will take image or frame as an input and by providing the image to the model the model will perform the preprocessing and feature selection after that it will be predict the emotional state. (shrink)

Abstract : Background: Vegetable agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. Objectives: There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Methods: In this paper, Lemon classification approach is presented with a dataset that contains approximately 2,000 images (...) belong to 3 species at a few developing phases. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. The results: found that CNN-driven lemon classification applications when used in farming automation have the latent to enhance crop harvest and improve output and productivity when designed properly. The trained model achieved an accuracy of 99.48% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

Abstract: Fruits are a rich source of energy, minerals and vitamins. They also contain fiber. There are many fruits types such as: Apple and pears, Citrus, Stone fruit, Tropical and exotic, Berries, Melons, Tomatoes and avocado. Classification of fruits can be used in many applications, whether industrial or in agriculture or services, for example, it can help the cashier in the hyper mall to determine the price and type of fruit and also may help some people to determining whether a (...) certain type of fruit meets their nutritional requirement. In this paper, machine learning based approach is presented for classifying and identifying 10 different fruit with a dataset that contains 6847 images use 4793 images for training, 1027 images for validation and 1027 images for testing. A deep learning technique that extensively applied to image recognition was used. We used 70% from image for training and 15% from image for validation 15% for testing. Our trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...) helps in protecting them from developing deadly blood clots. A tomato classification approach is presented with a data set containing approximately 5,266 images with 7 species belonging to tomatoes. The Neural Network Algorithms (CNN), a deep learning technique applied widely in image recognition, is used for this task. (shrink)

Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...) classification of papaya fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time. (shrink)

Abstract cantaloupe and honeydew melons are part of the muskmelon family, which originated in the Middle East. When picking either cantaloupe or honeydew melons to eat, you should choose a firm fruit that is heavy for its size, with no obvious signs of bruising. They can be stored at room temperature until you cut them, after which they should be kept in the refrigerator in an airtight container for up to five days. You should always wash and scrub the rind (...) of your melon before you cut it to remove any dirt or bacteria on the outside. In this paper, cantaloupe classification approach is presented with a dataset that contains approximately 1,312 of Cantaloupes and honeydews. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. The results found that CNN-driven classification applications when used in farming automation have the latent to enhance crop harvest and improve output and productivity when designed properly. The trained model achieved an accuracy of 99.74% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...) the twentieth century, Hawaii was a prevailing maker of pineapples, particularly for the US, be that as it may, by 2016, Costa Rica, Brazil, and the Philippines represented almost 33% of the world's creation of pineapples. In this paper, machine learning based approach is presented for identifying type pineapple with a dataset that contains 1,311images use 946 images for training, 197 images for validation and 168 images for testing. A deep learning technique that extensively applied to image recognition was used. use 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a heldout test set. (shrink)

Dermatological conditions affect a significant portion of the global population, with delayed diagnoses often leading to worsening conditions. This project introduces an AI-based web application that uses deep learning algorithms and artificial neural networks to analyse skin images and provide rapid preliminary diagnoses. The system can identify various dermatological conditions, assess severity, and offer accuracy metrics, thereby facilitating early detection and improving healthcare outcomes. This tool addresses the growing gap between patients and dermatological care, especially in areas with limited specialist (...) availability. (shrink)

Artificial Intelligence (AI) is a technology that enables machines or computer systems to perform tasks that usually require human intelligence. AI systems can understand and interpret information, make decisions, and solve problems based on patterns and data. They can also improve their performance over time by learning from their experiences. AI is used in various applications, such as enhancing knowledge and understanding, helping as voice assistants, aiding in image recognition, facilitating self-driving cars, and helping diagnose diseases. The appropriate (...) usage of AI can help in the promotion of Sikhism. However, awareness of the pitfalls of using AI for religious purposes is essential. So, we must use AI with caution in spiritual matters. (shrink)

In this paper, I explore the philosophical apprehension of the face through art history in order to signal a moment of rupture in the contemporary times of the face and its signifying relationship to the subject. Drawing from Francis Galton’s nineteenth century photographic experiments on analytical portraiture, one sees how the face when conceived as an atlas, functions very differently for the subject and its recognition than when understood as a mere image. With the advent of futuristic technology (...) like AI and machine learning feeding in much of our technocratic imaginations, where does the face and its constituency lie? Modernist artists found in the face, various motivations of their own – it was a field to explore their own subjectivities and those inclined towards the transcendental managed to liberate the subject from its image i.e. the face. This manner of freeing the subject of its image and thinking of the face as a structure of the subject, has potential to help us imagine new kinds of polyvalent subjectivities, as can be seen in works of contemporary artist- philosophers like Hito Steyerl. This paper articulates this journey of the face which began its story as the constitutive technology of the subject in the 19th century but today find its best reckoning as an insufficient one, in our quest for understanding new post-humanist subjectivities. (shrink)

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep (...) learning is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

Mirrors are more than reflective surfaces; they are portals to self-perception influenced by a tapestry of developmental, psychological, and cultural factors. In this paper, we explore the interplay between these factors by investigating the effect of beliefs on mirror images and clarifying how negative self-perception develops. We analyse the phenomenon of mirror self-recognition and the development of beliefs about oneself, attempting to clarify how emotionally charged beliefs could influence our experience with the mirror. Our proposal offers insights into body (...) dysmorphia disorders, emphasizing the importance of the interaction between belief and self-perception in this and related disorders. (shrink)

he health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high (...) accuracy. The experimental setup includes a dataset consisting of healthy and diseased leaf images of different plant species. The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. (shrink)

The health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high (...) accuracy. The experimental setup includes a dataset consisting of healthy and diseased leaf images of different plant species. The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. The results indicate that the deep learning model achieves a classification accuracy of over 95% for most plant diseases. A. (shrink)

The health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high (...) accuracy. The experimental setup includes a dataset consisting of healthy and diseased leaf images of different plant species. The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. (shrink)

Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper we (...) try to fill this gap. By trying to translate sign language using artificial intelligence algorithms, we focused in this paper using transfer learning technique based on deep learning by utilizing a MobileNet algorithm and compared it with the previous paper results[10a], where we get in the Mobilenet algorithm on the degree of Accuracy 93,48% but the VGG16 the accuracy was 100% For the same number of images (43500 in the dataset in size 64*64 pixel ) and the same data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch . (shrink)

Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually (...) intelligible although there are also similarities among different sign languages. They are the foundation of local Deaf cultures and have evolved into effective means of communication. Although signing is primarily used by the deaf and hard of hearing, hearing people also use it when they are unable to speak, when they have difficulty speaking due to a health condition or disability (augmentative and alternative communication), or when they have deaf family members, such as children of deaf adults. In this article we use the 43500 image in the dataset in size 64*64 pixel by use CNN Architecture and achieved 100% accuracy. (shrink)

Today's realities require medical institutions to take more careful account of intangible factors that make up an irreplaceable component of cultural characteristics. Changes in the socio-economic conditions of economic activity have led to increased attention of the management of medical institutions to the need to form a corporate style that will provide additional competitive advantages. The purpose of the study is to identify the functions and elements of the corporate style of a medical institution and its subdivisions, to find out (...) its impact on the collective consciousness and behavior of consumers of medical services and to establish requirements for its development. The methodological basis of the study is modern research on the formation of corporate style and its impact on the reputation and successful development of organizations. The main hypothesis of the study is the assumption that corporate style influences the level of recognition and authority of a medical institution. Summary of the main research material. It is proved that an authentic, working corporate style for a modern medical institution is a necessary element of its organizational culture. It is determined that the corporate style contributes to creating a positive image of a medical institution in the eyes of consumers; allows distinguishing a medical institution from other medical institutions with a similar range of services; strengthens the organizational spirit of medical staff; increases the effectiveness of advertising; and creates a favorable image of a medical institution. The originality and practical significance of the study lies in the fact that a comparative analysis of the elements of corporate style of city clinical hospitals in Dnipro, which are clearly implemented on the official pages on the Internet, was carried out. Conclusions and prospects for further research. The conducted research has made it possible to state that the considered medical institutions of the city of Dnipro do not pay the necessary attention to the formation of their own corporate style. Sporadic initiatives and events create the appearance of the existence of a corporate style of a medical institution, but do not ensure the existence of such a corporate style that would work to increase the recognition and authority of a medical institution. (shrink)

A quarter of a century ago, the first systematic behavioral experiments were performed to clarify the nature of color constancy—the effect whereby the perceived color of a surface remains constant despite changes in the spectrum of the illumination. At about the same time, new models of color constancy appeared, along with physiological data on cortical mechanisms and photographic colorimetric measurements of natural scenes. Since then, as this review shows, there have been many advances. The theoretical requirements for constancy have been (...) better delineated and the range of experimental techniques has been greatly expanded; novel invariant properties of images and a variety of neural mechanisms have been identified; and increasing recognition has been given to the relevance of natural surfaces and scenes as laboratory stimuli. Even so, there remain many theoretical and experimental challenges, not least to develop an account of color constancy that goes beyond deterministic and relatively simple laboratory stimuli and instead deals with the intrinsically variable nature of surfaces and illuminations present in the natural world. (shrink)

Commensal and pathogenic organisms employ camouflage and mimicry to mediate mutualistic interactions and predator escape. However, the immune mechanisms accounting for the establishment and maintenance of symbiotic bacterial populations are poorly understood. A promising hypothesis suggests that molecular mimicry, a condition in which different organisms share common antigens, is a mechanism of establishing tolerance between commensals and their hosts. On this view, certain bacteria may mimic the structural features of some of their host’s T-cell receptors (TCRs), namely those that survive (...) thymic selection due to their lack of complementarity to self-antigens. With such “holoimmunity” the mimicking micro-organisms avoid immune recognition as the copied TCRs become mirror images of an extended super-organismal self, consisting of symbiotic and host antigens. Accordingly, analysis of genomic and metagenomic data suggests a tripartite mimicry between TCRs, self-antigens, and commensal antigens that would serve as the basis for immune tolerance between these populations. And conversely, in an autoimmune scenario, both symbiotic microbes and the mimicked host tissue would be targeted for immune destruction. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique (...) used to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

In this paper I argue for a syncretistic theory of depiction, which combines the merits of the main paradigms which have hitherto faced themselves on this issue, namely the perceptualist and semioticist approaches. The syncretistic theory indeed takes from the former its stress on experiential factors and from the latter its stress on conventional factors. But the theory is even more syncretistic than this, for the way it accounts for the experiential factor vindicates several claims defended by different perceptualist theories. (...) In a nutshell, according to the syncretistic theory a picture depicts its subject iff i) it is transformed into an entity-cum-meaning and ii) one has the twofold experience of seeing that subject in the picture qua noninterpreted entity, the image, just in case one consciously misrecognizes it in consciously seeing that image, for that subject resembles the image in some grouping properties (originally labelled Gestalt-qualities in psychology). By appealing to objective resemblance in grouping properties, the theory can vindicate what are nowadays taken to be the most neglected doctrines in the perceptualist camp: objective resemblance theories. By appealing, moreover, to conscious misrecognition, the theory not only squares with both the seeing-in and the recognition theories of depiction, but it also shows the grain of truth in illusion theories of depiction, since conscious misrecognition is a kind of perceptual illusion. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to include speech, recognition, learning, planning and problem solving. Deep learning is a collection of algorithms used in machine learning, it is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is used as (...) a technique to produce brain tumor detection and classification models using Magnetic Resonance Imaging (MRI) imaging for rapid and easy detection and identification of brain tumor. In this thesis, some ways and mechanisms will be reviewed to use deep learning techniques to produce a model for brain tumor detection. The goal is to find a good and effective way to detect brain tumor based on MRI to help the brain doctor in making decisions easily, accurately and rapidly. A recent report by the World Health Organization in February 2018 showed that the death rate from brain cancer or central nervous system (CNS) is the highest in the Asian continent. It is important to detect cancer early so that many of these lives can be saved. The model has been designed and implemented, including a dataset which consist of 10,000 images for brain tumor detection through the use of Deep learning algorithms based on neural networks. For testing, we have used our model, Inception, VGG16, MobileNet and ResNet models. The f-score accuracy we got for each model was as follows: Our model was 98.28, VGG16 was 99.86%, ResNet50 was 98.14%, MobileNet was 88,98%, and InceptionV3 was 99.88%. (shrink)

Bestrewn with relics of subjugation, the frameworks that hinge on social progress have failed to appraise the plight of the marginalized in the democratic discourse. This is the case in the Philippines, as in other fringed spaces caught in hegemonic world-building. In this setup, emancipation is anchored in salvific attempts – salvaging the marginalized from a messianic standpoint. This tends to produce a pejorative image of the marginalized as incapable of self-determination. I argue in a three-part discussion: (1) reexamine (...) the locus of the margin in critical theorizing; (2) retrace the act of recognition vis-à-vis the emancipative struggle; (3) present that the lifeworld of the marginalized offers redemptive alternatives for emancipation. Further, I argue that this offers a foremost framework in critical theorizing at the margin since their situatedness affords a stance that has not formed a patina of the West but is primarily informed by their rich local periphery. (shrink)

One striking feature of pornographic images is that they emphasize what is depicted and underplay the way it is depicted: the experience of pornography rarely involves awareness of the picture’s composition or of visual rhyme. There are various ways of making this distinction between what is depicted in a picture and the way the depicted object is depicted in it. Following Richard Wollheim, I call these two aspects, the ‘what’ and ‘how’ of pictorial representation ‘recognitional’ and ‘configurational’, respectively. Some pictures (...) emphasize one of these aspects while underplaying the other. Pornographic pictures try to trigger as little attention to the ‘configurational’ aspect as possible. Instead of examining pornography, where the ‘configurational’ aspect of experience is underplayed, I focus on a historical attempt to create images of the female body where the ‘recognigional’ element is the one that is underplayed and the ‘configurational’ elements of the picture form an essential part of our experience. The pictures I have in mind are André Kertész’s series of photographs from 1933, called Distortions. I argue that Kertész’s Distortions are in this respect the counterpoint of pornography: they may be the least pornographic representations of the female nude. Instead of ignoring the ‘configurational aspects of the picture, making the picture transparent and fully at the service of showing the female body and thus to trigger arousal, Kertész aims to achieve the exact opposite. His photographs strip the female body of all its sexual connotations and draw our attention to the formal features of the picture – which is quite a feat in the light of the subject matter of these pictures that normally draw our attention away from the formal features of pictures. (shrink)

In this article I examine language used to define, express, and exploit “National Socialism”. These different uses vary in time and purpose, and need to be understood in context. The Nazis did not create much of the language most closely associated with National Socialism, but their use of certain language, symbols, and images has been so firmly established that we immediately recognize them even when partially spoken or indirectly referenced. This easy recognition, combined with the emotional charge of anger (...) and horror, lends itself to commercial and political exploitation. I discuss this with examples from scholarly publishing and current events, and also discuss possibilities for crowd manipulation made possible by political use of interactive social networks. (shrink)

The secularisation idea is that modernity leaves religion behind. But for Gauchet, modernity just is religion transformed, without remainder. The Axial Age discovery of the inner world of the psyche and its symbolic expressions, was at the same time a growth in understanding of God as creator, transcendent and incommensurable with all of creation. Henceforth, religion would be in the key of personal struggle and symbolic transformation, putting aside heteronomy. Taylor adds a caveat: the self-image of the self-sufficient, autonomous (...) individual subtracted from the canopy of 'higher' mythological entities obscures the basic human need for recognition and identity. This issues in an unhelpful politics of mobilization and manipulation. Likewise, Voegelin sees both liberal modernity and present-day religion as largely gnostic, closed and ideological versions of the traditions. Secular public policy types the religions as sects. But the autonomy of self-determination arises out of religion and a plausible secularisation thesis would see contemporary culture as containing within it the possibility for a secular expression of the authentic religious tradition - including resistance to sect-like religiosity. The revisionist history suggested here entails a rethink of the image of modernity in terms of a complete break with the pre-secular culture and entails a re-positioning of religion within secular society. (shrink)

This paper is a new non-descriptivist defense of non- conceptualism, based on a new interpretation of Kant’s metaphysics of concepts. We advance the following claim: What distinguishes non-conceptual from conceptual singular representations is the way partial representations of the object’s features are integrated into the whole representation of the object: while at the non-conceptual level this integration takes the form of images of the object’s features that are stored and projected, at the conceptual level this integration takes the form of (...) the recognition that those features are properties of a same object, what Kant calls “synthetic unity of Aperception”. (shrink)

This paper is a new non-descriptivist defense of nonconceptualism based on a new interpretation of Kant’s metaphysics of concepts. We advance the following claim: What distinguishes non-conceptual from conceptual singular representations is the way partial representations of the object’s features are integrated into the whole representation of the object, while at the non-conceptual level, this integration takes the form of images of the object’s features that are stored and projected, at the conceptual level this integration takes the form of the (...) recognition that those features are properties of a same object, what Kant calls “synthetic unity of Aperception”. (shrink)

In this paper I investigate affinities between Nietzsche’s early philosophy and some aspects of Kant’s moral theory. In so doing, I develop further my reading of Nietzschean wholeness as an ideal that consists in the achievement of cultural—not psychic—integration by pursuing the ennoblement of humanity in oneself and in all. This cultural achievement is equivalent to the procreation of the genius or the perfection of nature. For Nietzsche, the process by means of which we come to realize the genius in (...) ourselves is one in which our true content comes to necessarily govern or guide the shaping of our outer form (or our outward activities). Since this true content turns out to be our autonomy or free agency, I argue that this Nietzschean idea of necessitation parallels in important ways Kant’s notion of normative necessity. In particular, I claim that for Nietzsche the agent’s form becomes necessitated by his content as a result of the agent’s recognition of the duties that befall those who aspire to belong to a genuine culture and his resolve to guide his actions in accordance to them. These duties spring from the idea of humanity, from the image we have of ourselves as endowed with the capacity to be the helmsmen of our lives or to be more than mere animals or automata. The person who takes up this ideal of humanity turns his life into a living unity of content and form by organizing it around an aspect of his being that belongs necessarily, hence more truthfully, to him. He also participates in a collective project (that of the ennoblement of the human being) that can lend a certain coherence and imperishability to his individual life and through which he becomes necessarily connected to everyone else for all eternity. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:BENEDICT, THOMAS, OR AUGUSTINE? THE CHARACTER OF MACINTYRE'S NARRATIVE CHRISTOPHER J. THOMPSON University of St. Thomas St. Paul, Minnesota Introduction I N HIS Three Rival Versions of Moral Enquiry1 Alasdair Macintyre continues (with certain modifications) in a similar trajectory established in two earlier works, After Virtue and Whose Justice? Which Rationality? Against postEnlightenment portraits of moral reasoning, he consistently defends a conception of practical rationality which entails the (...) class='Hi'>recognition of tradition, authority, and narrative as constitutive components of any rationally determined moral enquiry. Despite the consistent appeal to tradition, there is a significant development within Macintyre's reflections regarding the pre-eminent resources we are to draw upon. At the end of After Virtue we are asked to await a "doubtless very different" St. Benedict. In Whose Justice? Which Rationality? the Thomistic tradition emerges as the superior form of moral enquiry. While Thomism maintains a pre-eminence in Three Rival Versions of Moral Enquiry, I suggest that there is an increasingly Augustinian element emerging within his analysis and that this dimension underlies Macintyre's efforts in ways not previously specified. There is a warrant, then, for seeing within Augustine's efforts the paradigmatic "narrative form of moral enquiry." 1Alasdair Macintyre, Three Rival Versions of Moral Enquiry (Notre Dame: University of Notre Dame Press, 1990). Hereafter RV. 379 380 CHRISTOPHER J. THOMPSON That Augustine figures in Macintyre's reception of the Thomistic tradition is not necessarily striking, for part of what fuels Macintyre's increasing enthusiasm for St. Thomas is precisely the latter's capacity to draw upon the best of the Augustinian tradition of enquiry. Beyond what Macintyre himself has overtly recognized as Augustine's contribution to the thought of St. Thomas, however, I suggest that elements of Augustine's thought directly influence much of Macintyre 's own attempts at restoring a kind of tradition-guided enquiry. This Augustinian strain, moreover, not only serves to highlight features of Macintyre's analysis of Thomism, but also brings to light certain theological presuppositions essential to the kind of moral enquiry Macintyre hopes to retrieve. The character of Macintyre's narrative, then, leads us to St. Augustine. In After Virtue it is largely the Aristotelian tradition of enquiry which he defends against rival post-Enlightenment theories of morality. He argues that the analytic, linguistic, and phenomenological tools brought to bear upon the task of formulating a coherent conception of the moral life and moral enquiry have failed miserably, principally for two reasons. The first is that such contemporary efforts have neglected to realize that moral enquiry is embedded in a broader context of social practices, practices which are inevitably historically conditioned; thus a failure to recognize the historically situated character of moral enquiry distorts that account. The second reason is related to the first in that failure to acknowledge the historical character of such enquiry has resulted in a failure to recognize that much of our contemporary terms and tools of moral analysis are remnants from previous contexts of enquiry which are no longer mutually agreed upon nor recognized as relevant.' What has been lost, among other things, is the teleological metaphysics which serves as the context for nearly two millennia in the West. Uproot the stock of ethical norms from this tradition 2 For this notion of "moral remnants" surviving beyond the historical contexts in which they emerge, see Alasdair Macintyre, "Ought," Chapter 15 in Against the Self Images ofthe Age (New York: Schocken Books, 1971), 136-156, though in a different context and with very different effect. THE CHARACTER OF MACINTYRE 'S NARRATIVE 381 of enquiry and what remains is simply an amalgam of unrelated moral demands-some divinely sanctioned, some rooted in the passions, some the outburst of emotive whimsy-yet all lacking any coherent exposition.' The only hope is to retrieve something of the Aristotelian tradition of moral enquiry in which the notion of the virtues and the virtuous human person entails a conception of the moral life as bearing a narrative unity, a teleologically ordered whole in which one's actions bear an intrinsic unity and significance to the extent they complement one's telos. The narrative unity ascribed to the living of the good life is... (shrink)

This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some (...) theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well. (shrink)

Abstract A Note to Cogito Les Jones Blackburn College Previous submissions include -Intention, interpretation and literary theory, a first lookWittgenstein and St Augustine A DiscussionAreas of Interest – History of Western Philosophy, Miscellaneous Philosophy, European A Note on Cogito Descartes' brilliance in driving out doubt, and proving the existence of himself as a thinking entity, is well documented. Sartre's critique (or maybe extension) is both apposite and grounded and takes these enquiries on to another level. Let's take a look. 'I (...) think' somehow, for all its power, lacks something. What? Consider what one does when thinking (difficult, but we can try). Implicit in the word 'think', in fact the very essence of the word 'think', is that activity is going on, and if such activity is going on then it must be going on about something, an object, an emotion, a problem,or maybe some dreamlike state, but common to all these is that something is going on. Is that really so? Well, if that wasn't so we would be able to think in a pure state, wouldn't we? But what does a pure state of 'thinking' mean? It can't mean that there isnothing there, because if there were nothing there then no thinking would be taking place. Can it mean that we are thinking of nothing? Well no, because if we are thinking of nothing then we are thinking of something, we are contemplating the notion, or the nature, of nothing. In fact, one can argue that if we talk of something, inthis case nothing or nothingness, then in our head we have some notion of what that is, i.e. something exists in the mind for it to come out of our mouths. Thinking is a recognition of something outside the individual, for the very act of direction, which isan indispensable part of thinking, recognises, must recognise, that there are things to address outside the individual. Something else to bear in mind. According to Sartre human beings are condemned to freedom. Why condemned? Human beings did not choose to be born, but the act ofbeing born also imparts the freedom of which Sartre speaks. Freedom is something which we parrot off as being a sine qua non for the human condition. I believe that's true, but freedom in this sense isn't without its consequences for the individual humanbeing, for individual human beings handle freedom differently. To some it enables them to fly, to others it imparts immense pressures, anguish, heartbreak, unhappiness can all be associated with such freedom. Each individual is responsible for his destiny, for his direction. If someone says that God impelled him, that individual chose his or her God, and chose to obey his or her God. This believer has to sift through the multitude of things that his or her God desire of him or her. All this is fine, so long as we acknowledge what is going on here. Belief in God is, by definition, a belief. Belief, following Wittgenstein, is a language game with its rules and its boundaries. The essential feature of religion as language game are its boundaries, which can be summed up in the word belief. OK, belief has its practises which are its constituent parts, but belief is the boundary between religion and other language games, as the proof constituents are different. Our world is determined by the language used to describe everything that goes on within it. The boundaries of our world are set by the language we use. This might be better put as language gives access to ever expending boundaries. Ever expanding boundaries are only possible by ever expanding thought, and ever expanding thought is only possible by ever expanding directions to our thought brought about through language. It is a fact taken that to be conscious is to think. How could this be otherwise? Consciousness without thought just does not make sense. Imagine a state of consciousness without directional thought. What would it be like? It would be something never experienced, completely out of our understanding. Why? Because understanding itself is a directional thought process. If we say we are going outside our understanding then that is a world of void, and a world of void does not exist. Can such a world be contemplated in our thinking? Well, yes, but then it requires thinking, and thinking requires direction, and such direction requires language. Why does direction require language? Because there is no other way for human beings to articulate a directional thought. Could one point at an image without language? Well, one could have an image in mind, but the essence of saying something about it, of descriptive power, brings us back to the essence, to the power of language to direct. So what of this language of which we speak? Wittgenstein's private language argument points us towards the notion that language itself constantly develops and redevelops through human interaction. Descarte's cogito implies that thinking rules out doubt of one's own existence. But such thinking, to be valid, to make sense, to direct, must develop in a language that has developed, has been verified, by a plurality, by a plurality whose essence is social. Correct use of language symbols, i.e. words, requires that we verify and reverify the accuracy of such symbols. How do we do that? We do that in constant usage, in constant interaction, with other human beings. An individual using a private language could not be understood by others, his symbol system has not been verified by others, his meanings may not be your meanings. It follows from what we have said above that language is constructed, and is continually constructed, in a social context. Given our previous thoughts regarding verification this could not be otherwise. Language has a normative form. All language users are required, by their very use of the language, to verify the use of terms, grammar etc etc. As Wittgenstein cites (appropriately) games as a model, let us take a look. If I play e.g. Ludo, I am governed by the rules. It is not just that I may play dishonestly, for if I were to play at all that very dishonesty, to count as Ludo, would have to be rule governed. The rules of Ludo are Ludo, they are the essence and the constitution of it. Wittgenstein, particularly in his later writings, interweaves many concepts, and connects them in different and sometimes rather elusive ways. Wittgenstein sees concepts like emotions, sentiments and experiences in these interweaving maps. Of course these can be regarded as psychological concepts ** Language can be considered in another but related way, as embodying the elements of a cultural heritage. Language was seen as embodying the notion of higher culture in the arts, architecture etc. Over recent decades this has tended to shift to consider less tangible benefits, such things as oral traditions, cultural values and cultural identity. So language enables us to explore, through the achievements of past generations, cultural mores that may have laid unchallenged for many years. Many of these values and mores may be seen as independent of the language by which they are transmitted, but still this monumental accomplishment of mankind i.e. language, enables man to explore, to modify, to codify, to extend the boundaries of human experience. There are therefore massive implications for our Note on Cogito of Wittgenstein's work. Following Wittgenstein emotions and other psychological concepts can be termed depth grammar, and are distinguished by the fact that the third person of the present is recognised by observation, the first person is not. Taking Wittgenstein's well known pain example the sentence 'He is in pain' is a third person statement of an observational nature. The sentence 'I am in pain' is not derived from observation but from experience, it is an expression of that experience, it's essence is the experience. The asymmetry consists in the fact that predicting psychological attributes of others is warranted by what they do and say. By contrast, the use of such statements in the first person present tense does not rest on one's observation of one's own behaviour. (Hacker 2010:287) p 9 According to Wittgenstein 'I am in pain' is more like a cry of pain, an expression of pain, than a report of some pain. Of course this appertains for other similar statements. 'I feel good' etc. (shrink)

Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human observers. (...) To this end, we exploit a neural network metric in the output of a biologically inspired Self- Organizing Map Quantization Error (SOM-QE). Shape pairs with perfect geometry mirror symmetry but a non-homogenous appearance, caused by local variations in hue, saturation, or lightness within and/or across the shapes in a given pair produce, as shown here, a longer choice response time (RT) for “yes” responses relative to symmetry. These data are consistently mirrored by the variations in the SOM-QE from unsupervised neural network analysis of the same stimulus images. The neural network metric is thus capable of detecting and scaling human symmetry uncertainty in response to patterns. Such capacity is tightly linked to the metric’s proven selectivity to local contrast and color variations in large and highly complex image data. (shrink)

June 2022 A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers We are in a unique moment of our history unlike any previous moment ever. Virtually all human economies are based on the destruction of the Earth, and we are now at a place in our history where we can foresee if we continue on as we are, our own extinction. As I write, the planet is in deep trouble, heat, fires, great storms, and record flooding, (...) weather patterns drastic everywhere. Capitalism has been so successful in supplying us with an endless array of consumer items, that we have never noticed there is a cost. But there is a cost, the cost is the very life of the Earth herself, and now the day of reckoning is here. Days of reckoning are most often days of rath. But I am hoping that this is a day of major Awakening over the entire planet. We have caused a crisis so great for the Earth we can hardly get our minds around it. But I am proposing that deeply embedded in the crisis are ideas, about who and what the Earth is, Ourselves, and what we are here for. I am proposing that this is a call to all philosophy and philosophers to rethink ourselves from the ground up. The human race has never gotten the Earth right and now we must, for the Earth is the true foundation for civilization. We are in deep trouble with the Earth, and it owes to the fact that the great male thinkers never got the Earth right, they could never make the connection between the life of mind and the life of the Earth. I am proposing that deeply embedded in the crisis we are in are ideas. And that in fact the planet is in the grip of a false metaphysics, and scientific image of nature that really comes most recently from Descartes. His conviction that matter, and with it the Earth, are simply the weighable, the measurable the extended in space and time, utterly devoid of any inner life of mind thoughts or Consciousness. This view of matter and the Earth goes back to the very dawn of thought, Descartes is just its most recent and comprehensive version of things. This view of matter is really a false metaphysics that dominates most of the modern world and underpins the whole scientific image of nature itself. I am proposing this is a false metaphysics and offering a new version of things based on Consciousness. If there is a single idea fueling and driving the destruction of the planet, it is the conviction that the Earth is something without Consciousness. When you intend to ravage and savage the planet, turn it into consumer items to be converted into money in the bank, first pretend that all of the bright beings in the natural world are devoid of Consciousness, just “things” you do not have to have any conscious about destroying them. I am proposing that this term Consciousness, that has appeared as term and a problem for modern science, is the key to getting ourselves right with the Earth. I propose this new theory for science will ramify into every other disciplines as well, and the ways we think just about everything. This old paradigm based on a false theory of matter, has run its course, it has brought us to the brink of our own extinction. We need new ideas, and we need them now. You will find my recent work in the Scientific God Journal under the title: Consciousness as the Organizing Principle, and a very complete version of my arguments for this term Consciousness, along with radical reinterpretation of modern science itself, on the Galileo Commission site. It is a radical moment for all of the thinkers among us, take this as my small contribution to rethinking ourselves in new terms, based on my understanding that the true basis for the whole of Being, the Universe, the Cosmos, and with them Ourselves, is this term Consciousness. And unpack it. And I predict that with this term Consciousness every intractable human problem in both science and the modern world will go down like a line of dominos before it. And so, here are a few new ideas I would offer you. These are the times of the Reappearance of the Feminine, a great Awakening as of Springtime after a long dark and lonely Winter. We are leaving behind us an old civilization based on male dominance, fear lies and control, now in decay, disease, and death disintegrating all around us. We are moving into a whole new civilization based on Love and Truth. A new civilization requires new basic terms values and first principles. And so, I return to Descartes. 1. Just over 300 years ago a young man travelling with the army found himself stranded in a foreign town in a bare room lit by a candle with nothing to do but think. And in a couple of nights Descartes laid the entire thought foundations for modern science and most of the modern world. It isn’t clear that modern philosophers with their funding sources of grants, their graduate students, their reputation and all the perks and privileges of academia can do any better. Descartes claimed there are just two principles in the Universe, Matter and Mind. God was pure mind; human beings were mind and matter. And we are the only ones on the planet with mind. Everything else all of the bright array of beings who share the planet with us are simply matter. And matter? The weighable the measurable the extended in space and time utterly devoid of any inner life of thoughts, feelings, or Consciousness This classification was a boon for developing science. Scientists did not have to worry about any inner life in nature, ideas or Consciousness, they could just set about weighing and measuring, as they have until the present day. But it was a disaster for the Earth. Earth was once worshiped as a Goddess. With Descartes she became almost overnight “things.” Simply commodities and resources, an endless of supply of consumer items, to be turned into money in the bank. And now Descartes concept of matter is up for us. If there is a single idea that is enabling and driving the destruction of the Earth, it is the conviction that Earth is something without Consciousness. This whole scientific image of nature as something devoid of Consciousness is driving the destruction of the Earth, and driving us all insane, and it needs to change. Ever since Descartes formulated Dualism, scientists and philosophers have been trying to get rid of it. They have done this by attempting to make matter the fundamental term of reality, and to explain mind or Consciousness in terms of matter. And now, Consciousness has emerged as term and a problem for modern science. 2. The prevailing Universe picture has been mainly based on the belief that Consciousness appears only at the end of evolution in ourselves and some of the higher animals when matter attains “a certain state of complexity” and it is produced by neurons in the brain. But Consciousness is nothing real in itself, the neurons are doing the work, Consciousness is simply a byproduct of neural activity. As William James summed up this position, not his: Consciousness is to the brain as a shadow to the runner, it runs beside him but never influences his stride. And so, the great problem of neuroscience: How do neurons produce Consciousness? So far, no one has been able to say how. All we have is parallelism. Two processes are running in parallel a train of neural events and a train of Consciousness events. And so, which one is primary? The face of neuroscience and much of the modern world is that the neural events are what is really real, Consciousness is secondary. The conviction that Consciousness is something produced by neurons is so deeply held and has been so for so long, that it seems like an obvious fact. It is in fact an assumption and a theory, and it could all well be the other way around. The scientific image of nature as something devoid of Consciousness is now up for us. It has enabled the destruction of the Earth, and we are now at a unique place in our own evolution where we can foresee if we continue on as we are, our own extinction. And so, there are the best reasons for rethinking Descartes concepts of matter. Scientists and philosophers have been trying to escape dualism by making matter the fundamental term. And now, this has not worked. In a nutshell: The mind body problem, the “hard problem of Consciousness” ---how do neurons in the brain, atoms and molecules give rise to ideas thoughts and feelings and who what and where is the “I” who sees them? And then, the near-death experience. I remind you of the truth of the near-death experience. The body in the bed is brain dead eeg flat, but the patient, pure Consciousness is hovering at the ceiling watching the doctors work over the body below, able to read dials he could not have seen from the bed, sometimes able to events in the corridor beyond the room, all subsequently confirmed by the doctors. Evidence as good as it gets that the patient really was out of his body. And so, the patient is able to see without eyes, hear without ears and to think and remember without a brain. There is not a single scientific principle that can account for this. And I am proposing that the near-death experience is a threshold and a key for a much deeper understanding of the Universe. These three problems are so hard they cannot be solved by present scientific principles and therefore call all present principles and ways of thought into question. When your axioms cannot account for the data, it is time to drop them and find better fundamental terms. We have not been able to solve the problems of Consciousness with the assumption that matter is the most basic and fundamental term. And so, if Cartesian dualism is to be overcome at all, we need to try it the other way around. 3. We are in the position of Copernicus. Remember Copernicus? He was making his calculations on the assumption that the Earth was the center of the Universe until they became so unwieldy that he decided to try it all the other way around. To make the sun the center, the Earth revolving around it. And lo, all of his data fell neatly into place. I am proposing a whole new Universe picture. Evolution makes us continuous with every other being, Consciousness would not be in us if it were not in them also, and then, in the atoms and molecules and cells that make up living beings. I propose to make Consciousness the most basic term and see what follows. I am in fact, proposing a new Copernican Revolution, that Consciousness is the true basis for the Universe and the right fundamental term, for science itself all other disciplines as well, and the whole of the modern world. And I predict that every intractable problem in science or the modern world, will go down like a line of dominos before it. In a nutshell: Consciousness and not matter is “first and fundamental” in the Universe, it is there from the very “Beginning” everything has it and all of the true causalities, the explanatory principles belong to it. Not to matter. What then is matter? All matter is an Appearance of something much more real, Consciousness. All matter is an expression of Consciousness, even the least little bit of matter contains Consciousness, and is an expression of Consciousness. And so, we revise the scientific image of nature. Science at present is two termed, matter/energy. It needs to become three termed: Matter/energy/Consciousness, with the recognition that all of the basic principles, the true causalities of events, and of the Universe belong to Consciousness. And now physics. To accommodate this new Universe picture physics needs to alter just one term, energy. All energy contains Consciousness, that idea alone will change our world forever. The animals the trees the plants are just as conscious as we are, as is the Earth herself, a continuum of many forms of Consciousness of which our own is one. The Earth consists of interacting and intersecting forms of Consciousness, Consciousness within Consciousness within Consciousness within Consciousness. A remarkable work has just appeared entitled “Beyond Words What Animals Feel and Think.” Describing in detail how like ourselves all of the animals are. And the more we can see how like us everything else really is, the harder it will be for us to do them all in, in the interest of turning them into consumer items. And so, here is a new principle of understanding, that entails completely new forms of explanation, and a whole new Universe picture to be spelled out in terms of Consciousness and its various properties. This is a Universe that is aware awake and Enspirited throughout. And so, there is only one principle, not two. And so, how does Consciousness work? There is “no mind/body problem.” My Consciousness is aligning the Consciousness of neurons in the brain, that aligns the Consciousness of all other cells in the body, that aligns the Consciousness of molecules and atoms themselves. Mainly from the top down, but also interactive, and not reduction to the purely physical forces. 4. And so, here is a radical new Universe picture, and with it a new way to think about the Universe itself, the Earth, Ourselves, and Spirit. It requires a complete revision of both of the terms of modern science itself. The problem of the modern world owes in deep measure to Descartes concept of matter as something devoid of interior life. But he is only the most powerful and simple expression of a whole tradition of thought that predates him, that goes back to the very dawn of thought itself. It owes to the conviction of both Plato and Aristotle that the Earth was something devoid of reason, or mind, and therefore something to be held in complete contempt. We are emerging from a civilization based on contempt for the Earth, and down the road, it will become contempt for the body, sex, women, the Native people, and people of color everywhere. And so, this entire tradition is now up for us, it has brought us to the brink of our own extinction, and we need to get beyond it. I am proposing that this term Consciousness is the way out. The missing piece of the puzzle and the idea whose time has come. And it will enable us to move into a completely new civilization based on respect for the Earth, women, sex, people of color, that honors everyone and has a place for all. Revolutions in science occur when new data show up that cannot be accounted for by existing paradigms (Thomas Kuhns: The Structure of Scientific Revolutions). Consciousness, and all the properties and problems of Consciousness are just such data, and they compel a new scientific revolution. But we are a scientific age. A new Copernican revolution in science is such as revolution everywhere. And Consciousness is the key to getting every other reality at all levels and depths right as well. It will enable us finally to get the Earth right, get ourselves right with the Earth, and with one another. Archimedes: Give me a place to stand, and I will move the world. I am proposing a new synthesis among our fundamental terms in which this term Consciousness is the new lynchpin. And so, I return once more to Descartes. Descartes in the Mediations was a dualist, they were two realities interacting in the pineal gland mind and body. But Descartes age was high on “Cartesianisms,” on Descartes concept of matter. Animals were simply cleverly wired machines (Hobbes called them automata). Rumor had it that Descartes followers went about kicking dogs reasoning that their howls were not due to any feelings of pain, but simply the wiring of the machine. We have been doing this to the Earth ever since, and now the Earth is not going to stand for it any longer. It is time we all woke up. There is no matter in Descartes sense of it, or in Plato and Aristotle’s sense of it. This old concept of matter is embedded in all of the crisis and catastrophes---fires, drought, pandemics, over population, the disintegrating economies, our ways of life, capitalism and consumerism themselves. All matter is Enspirited, contains Consciousness, and is an expression of Consciousness. Now I tell you something about Descartes you may not know. In the Mediations was a dualist, there are minds and bodies. But by the end of his life, he knew the truth. Descartes guided his whole life by these vivid dreams, and toward the end of his life he had this dream: He saw the Universe as a giant machine and in the heart of the machine propelling the whole, was Consciousness. And so, out of the shades and shadows and into the light of day. Here is a renewed and a new science, a new cosmology. And with it, a revolutionary new metaphysics. The whole of the modern world is in the grip of a false metaphysics, based on Descartes theory of matter. Here is a new, and finally true metaphysics based on the single term, Consciousness. 5. And in all my works, I spell out this new metaphysics based on Consciousness, and what it means for how we think about virtually everything: The Universe, the Earth, Ourselves, and Spirit. Of who, what and where Spirit is, that we may connect with Spirit everywhere. There is only one term for the Universe, and not two, this single term Consciousness, that manifests itself in two modes: Consciousness in Form, Consciousness Formless. And so, here is a sketch of what this new term Consciousness really means. For four great aspects of the real, four new cornerstones for a whole new civilization on Earth, based on Love and Truth. A. For the Universe: New causalities, all matter is an expression of Consciousness, awake and aware, Enspirited throughout, which has a place for the causalities of love ideas intent plan and purpose, what Aristotle called final causality, that for the sake of which. And it has a place for subjectivity, the greatest mystery in the whole of the Universe, knowable only in ourselves, but there in everything else as well, bedrock in the chain of causalities. The buck stops here. Here are two very different Universe pictures. The Cartesian Universe consists of things, pushed, and pulled around by the physical forces that function blind. The true Universe consists of selves and not things. Selves at least in ourselves, are organized and focused about an I, an I am, or a sense of self in everything, ever other being dear to itself. Just one aspect of subjectivity. And so, it is Consciousness all the way down, and subjectivity all the way down. Science proceeds on the basis of the negligible of what it can leave out as unimportant. Subjectivity is the ultimate animating principle of the Universe. What Descartes really did was to strip from nature what is most essential about it, its animating principle Consciousness. And so, we come out of a long history of “clunk.” The great male thinkers have killed creation. First in concepts and now in the lived life. And so, after centuries of fruitless search, not all of it in vain, finally, and just in time the true basic principle for the Universe has shown up in virtually all disciplines, this term Consciousness. B. And so, the Earth: What does this term Consciousness really mean for the Earth? It means that all of the bright array of beings around us have Consciousness. And the more we can realize how like us they are, the harder it will be to do them all in. Is this what it really means to be “made in the image of Spirit?” To destroy ever other living being? The god of Genesis is a creator god who has created billions and billions of living forms. Man, taking himself to be made in the image of Spirit has destroyed virtually all of it. The Earth is not things, not commodities and resources, not an endless array of consumer goods. The Earth consists of conscious living spiritual beings like ourselves, who need to be honored and respected, nurtured and cared for, to be Loved. And if the human race can finally pull it off and bring Love here and start helping the Earth rather than destroying her, even our vast numbers now at 8 billion, may not matter. Deeply embedded in the modern world is a false cosmology based on the hitherto useful but ultimately false metaphysics of Descartes. In particular it owes to Descartes concepts of matter, and of the Earth, as something devoid of Consciousness. And now this concept is up for us. If there is a single idea enabling and driving the destruction of the planet, it is the conviction that the Earth is something devoid of Consciousness. And we all have a vested interest in keeping this false concept in place. When you intend to ravage and savage the Earth, to turn it into consumer items, and money in the bank, first pretend she has no Consciousness that way we need not have any conscious about it. We are in deep trouble with the planet. Virtually all human economies are based on the destruction of the Earth, and we are now at a place in our history where we can foresee if we continue on as we are, our own extinction. And so, here are a few new guiding principles for the planet, based on Consciousness. Consciousness has field properties. The Earth is Consciousness throughout, connected and interconnected throughout, intersecting and interacting fields of Consciousness of which our own is one. To harm one is to harm all. Only this understanding of the Earth can set our destructive technologies, and capitalism, their goals, and their limits. The real problem with capitalism, and with civilization itself is it has no true understanding of the Earth, all the exquisite networks and webworks that connect all beings with one another. Nor it is about to admit that the Earth is our “life support system,” reason gone insane in the modern world. We are destroying our life support system, capitalism is the full expression of the human death wish in the modern world, and it needs to change. And now, let the barriers between ourselves and all other beings go down. C. And so, Ourselves. This new Universe picture based on Consciousness opens into and has a place for new concepts of human identity. In particular, it has a place for reincarnation, a process whereby one Consciousness dons’ bodies again and again and lays them down. This is a process wholly impossible on materialistic theories. This new view of things puts a higher perspective on Freudian determinism, which is a partial knowing in a greater account. We are something more than the victims of genes drives and childhood. We are immortally eternal evolving spiritual beings who take on a cycle of earthly lives in order to achieve certain goals and abilities, and then, our earthly cycle complete, we depart the Earth plane for other areas of the Universe physical or purely spiritual, to continue our evolution elsewhere. The scientific evidence for reincarnation is increasing on all sides, see for example the work of Michael Newton, a mainstream scientist forced to confront the fact of reincarnation. A completely new reincarnational picture is now emerging everywhere. We choose our parents for abilities we could acquire through them. We all come here with reasons for being here, and we all have free will, an original property of Consciousness, and we work out our issues accordingly. We all come here with the same reason for being here. It is to experience the Earth plane and human society at all levels and depths, in every social role, every climate, both sexes male and female and in all races. We are all here to acquire a deep understanding of the Earth plane with all its challenges and all of its present problems. We are not here to devour and consume the Earth, but to honor her for the learning experience she makes available for us. And so, reincarnation is the great equalizer, the fundamental basis for any bill of rights. Many of the problems of the modern world owe to the fact that reincarnation has not been taught in the West. Reincarnation was the center piece of Jesus teachings. It was banned by a fourth century council that decided the populous could best be controlled through fear. They edited all mention of reincarnation from the scriptures, and inserted fear terms instead, a judgmental god, and so on. If reincarnation had been taught, there would have been no suppression of women, but the gift of both sexes would have been honored and developed. And there would have been no reason for contempt for people of color because who they are, we have been or will be. There is no reason to look down on anyone when we know that our own identity includes membership in theirs. The truth of reincarnation needs to be the foundation for getting ourselves right with the Earth, and with one another. D. And so, Spirit. This new Universe picture, based on Consciousness, has a place for Spirit as simply Infinite Consciousness. All universes all worlds are formed out of this Consciousness, divine and sacred throughout. And Spirit is everywhere in the Earth and can be connected everywhere. And the Native North American people had things right. Everything has its own Spirit, and without contradiction is also an expression of Spirit. And what I am really doing in terms of concepts of modern science is presenting the Native North American version of the Real. And this new Universe picture has a place for the essential insight of all religions almost smothered by church tradition: Love. Not an emotion but a great Oneness, that can be found everywhere, even in a busy city street. But especially in the Earth, that is levels and depths of Oneness everywhere. And so, for the first time in their long and bitter antagonistic history, science and religion now share a common base with this term Spirit, the lynchpin in a new conceptual framework. And I offer an interpretation of where we are in our history, this present moment of historical grace, and these tumultuous times in which we live, the return of the Goddess and the Divine Feminine, the Reappearance of the Feminine in history, the Advent of Women, this great Awakening, as of Springtime after a long dark Winter, the Awakening, the Second Coming. And so, stay tuned! (shrink)

The article considers the problem of images and the role they play in our reflection turning to evidence provided by two seemingly very distant theories of mind together with two sorts of corresponding visions: dreams as analyzed by Freud who claimed that they are pictures of our thoughts, and their mechanical counterparts produced by neural networks designed for object recognition and classification. Freud’s theory of dreams has largely been ignored by philosophers interested in cognition, most of whom focused solely (...) on the linguistic incarnation of thoughts, but even though commonly neglected by respectable theories of thinking, dream images may prove to be the key to the black box of thought. As argued in this article, when seen from the right perspective and approached with the right set of questions, oneiric visions yield groundbreaking insights into the mechanism of how concepts and judgments are formed. Support for this conclusion comes from a tradition seemingly remote, if not opposed to psychoanalysis: the mechanical model of the mind conceived by information sciences and embodied in the form of artificial neural nets which mirror the activity of human visual cortex producing visions strikingly similar to those created by the sleeping mind. These purely mechanical, artificial ‘dreams’ constitute byproducts of algorithms designed for object recognition and classification, which, as I shall argue, reveals the true purpose of our own oneiric visual formations. Just like their mechanical counterparts produced by neural networks, condensations and displacements encountered in dreams are in fact visual universals. (shrink)

Small changes in daylight in the environment can produce large changes in reflected light, even over short intervals of time. Do these changes limit the visual recognition of surfaces by their colour? To address this question, information-theoretic methods were used to estimate computationally the maximum number of surfaces in a sample that can be identified as the same after an interval. Scene data were taken from successive hyperspectral radiance images. With no illumination change, the average number of surfaces distinguishable (...) by colour was of the order of 10,000. But with an illumination change, the average number still identifiable declined rapidly with change duration. In one condition, the number after two minutes was around 600, after 10 min around 200, and after an hour around 70. These limits on identification are much lower than with spectral changes in daylight. No recoding of the colour signal is likely to recover surface identity lost in this uncertain environment. (shrink)

The thesis explores and suggests a solution to a problem that I identify in John McDowell’s and Lynne Rudder Baker’s approaches to mental and intention-dependent (ID) causation in the physical world. I begin (chapter 1) with a brief discussion of McDowell’s non-reductive and anti-scientistic account of mind and world, which I believe offers, through its vision of the unbounded conceptual and the world as within the space of reasons, to liberate and renew philosophy. However, I find an inconsistency in McDowell’s (...) criticism of Davidson’s anomalous monism (chapter 2), stemming from a tension between McDowell’s naïve common sense view of mental causation and an understanding of ordinary physical causation which I think McDowell ought to embrace, which portrays it as both objective, in the sense of being recognition- independent, and as belonging within the space of reasons. The question of the relation between these two concepts of causation is an aspect of the more general question of the relation between the space of reasons and the realm of law. In chapter 3 I begin examining the possibility that Baker’s account of material and property constitution could form the basis of a bridge between the two spaces, and find it generally promising. However, I find that her defence of her version of non-reductive monism against Kim’s causal arguments also runs into problems, which I attribute to the fact that she holds a view of causation as secondary to causal explanation. 2 3 In chapter 4 I develop an account of what I call manifest physical causation – of objective causal relations in the world of Sellars’s manifest image. Based upon McDowell’s transcendental empiricism, which takes the existence of the ordinary perceived world as a condition of the possibility of our possession of conceptual capacities, I contend that it is this picture of reality, rather than that of fundamental physics, that should be the starting point of our theorizing. Causation in the manifest image, I argue, covers the behaviour of the familiar physical world as well as that of its well-understood extensions into the special sciences and engineering. Manifest physical causation, on my account, is productive, acts through mechanisms which are almost entirely mechanical, electromagnetic, and/ or chemical, and is causally closed. In my view, normative, semantic, contentful property-instances are not part of the manifest physical causal nexus. In my final chapter I suggest a modification of Baker’s constitution account, which I call Constituted Causation, whereby higher-level – mental and other ID – causal relations are constituted, in favourable circumstances, by lower-level ones. ID causal relations belong in their own causal nexus but are connected to the manifest physical world through constitution, a relation of unity without identity. Causation and constitution are, respectively, intra- and inter-level relations, and they are non-overlapping. The constituted network of rational and normative relations bears, I believe, striking parallels with McDowell’s view of reality. According to Baker’s view of constitution, the essential properties of constituted entities subsume those of their constituters; extending this to my account enables us to say that the real cause and explanation of someone’s action is that they consciously performed it 4 rather than that certain manifest causal processes occurred at the lower level. (shrink)

A generalized information theory is proposed as a natural extension of Shannon's information theory. It proposes that information comes from forecasts. The more precise and the more unexpected a forecast is, the more information it conveys. If subjective forecast always conforms with objective facts then the generalized information measure will be equivalent to Shannon's information measure. The generalized communication model is consistent with K. R. Popper's model of knowledge evolution. The mathematical foundations of the new information theory, the generalized communication (...) model , information measures for semantic information and sensory information, and the coding meanings of generalized entropy and generalized mutual information are introduced. Assessments and optimizations of pattern recognition, predictions, and detection with the generalized information criterion are discussed. For economization of communication, a revised version of rate-distortion theory: rate-of-keeping-precision theory, which is a theory for datum compression and also a theory for matching an objective channels with the subjective understanding of information receivers, is proposed. Applications include stock market forecasting and video image presentation. (shrink)

there is a communication gap between hearing-impaired people and those with normal hearing, sign language is the main means of communication in the hearing-impaired population. Continuous sign language recognition, which can close the communication gap, is a difficult task since the ordered annotations are weakly supervised and there is no frame-level label. To solve this issue, we compare the accuracy of each model using two deep learning models, Inception and Xception . To that end, the purpose of this paper (...) is By attempting to translate sign language using deep learning models, we focused in this paper a comparing between Inception and Xception ¬¬¬¬¬ algorithm and compared it to previous papers in which we used VGG19[1], mobileNet [2], where we get in the Inception and Xception algorithm on the degree of Accuracy 99.32%, 99,43% respectively. number of images (29000 in the dataset in size 75*75 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

The attendance is taken in every organization. Traditional approach for attendance is, professor calls student name & record attendance. For each lecture this is wastage of time. To avoid these losses, we are about to use automatic process which is based on image processing. In this project approach, we are using face detection & face recognition system. The first phase is pre-processing where the face detection is processed through the step image processing. It includes the face detection (...) and face recognition process. Second phase is feature extraction. Step by step execution of these techniques (Image Processing) helps to achieve the final output. The working of this project is to detect and recognize the face and mark the attendance for the corresponding face in the database. Input of this project is face detection and recognition and output is to mark the attendance. Our project is being presented as a solution for the Automatic Attendance Marking System. It is designed to be reliable and low power. The Automatic face detection and recognition proposed to attendance marking in database acts as the solution for the automatic attendance marking system.. (shrink)

The paper leans on a movie cult from the 1960s, Blow-Up (1966) by Michelangelo Antonioni, of which a famous sequence is often mentioned, the one in which the protagonist, the photographer Thomas (considered here as a "conceptual character"), repeatedly enlarged the photographs he made in a park, in order to find an answer to the mystery surrounding the murder of a man: magnification which leads, on the one hand, to a gradual loss of definition of images, with the grain of (...) the picture becoming more and more evident, but also, on the other, in the emergence, from the very material of the print, of a fundamental detail that will help solve the mystery. What interests is the link between indicative referentiality and evidence documentary, between degrees of definition and authentication powers. The paper also analyzes the links that intertwine, in the film, between the photographs of Thomas (by Don McCullin) and paintings painted by another character of the movie, Bill (directed by Ian Stephenson), but also, outside the film, with all a series of examples from artistic production and visual culture of the time: very low definition images of the Kennedy assassination in Dallas (the famous Zapruder Film), the portrait of Lee Harvey Oswald directed by Sigmar Polke by simulating the halftone technique, the war photographs of Don McCullin and David Bailey's Fashion Photographs, Random Earths Studies by Mark Boyle and Joan Hills, Materialologies and Texturologies by Jean Dubuffet, as well as Zen for Film by Nam June Paik. Fimiani's text addresses also two contemporary installations which have tried to return to the issues from the photographic sequence of Antonioni's film: Blow-Up Blow-Up (2010) by Joan Fontcuberta and Portrait Landscape (from the Object Classifier series) (2015) by John Houck, an installation in which photograms of Blow-Up are analyzed through facial recognition software. (shrink)

Cruzeiro Seixas is one of the main representatives of Portuguese and European surrealism, despite having initially started with neo-realism. Alongside figures such as Mário Cesariny, Carlos Calvet, António Maria Lisboa, Pedro Oom or Mário Henrique Leiria, the artist created a very unique style that allows immediate recognition of his work. If it is true that this recognition depends a lot on the pictorial, stylistic, artistic presentation, it is no less true that this happens due to the permanent use (...) of a language that, on the one hand, keeps surrealism alive, and on the other hand, allows the affirmation of a narrative that does not run out of time in the discourses of history or art criticism. It is not a question of reinventing surrealism but of making it known as it is, as it happens in the reality of the human psyche. And what happens is images of weirds corpses in unreal scenarios, as it must be all the mind scenarios. Cruzeiro Seixas is an artist of human reality and this essay seeks to give an account of his work and thereby clarify how surrealism remains alive today. (shrink)