The comprehensive nature of information and insight available in the Upanishads, the Indian philosophical systems like the Advaita Philosophy, Sabdabrahma Siddhanta, Sphota Vaada and the Shaddarsanas, in relation to the idea of human consciousness, mind and its functions, cognitive science and scheme of human cognition and communication are presented. All this is highlighted with vivid classification of conscious-, cognitive-, functional- states of mind; by differentiating cognition as a combination of cognitive agent, cognizing element, cognized element; formation; form and structure of (...) cognition, instruments and means of cognition, validity of cognition and the nature of energy/matter which facilitates and also is the medium of cognition- cognizing process; and also as the container and content of cognition. The human communication process which is just the reverse of cognizing process is also presented with necessary description and detail. The sameness of cognitive / communicative process during language acquisition and communication processes and the modes of language acquisition and communication are also given. The hardware and software of human cognition, language acquisition and communication as envisaged in Indian spiritual and philosophical expressions are given. In the light of the information and insight obtained as above, the axioms for human cognition / communication are formed, framed and presented. A brain-wave frequency modulation / demodulation model of human cognition, communication and language acquisition and communication process based on Upanishadic expressions, Shaddarsanas and Sabdabrahma Siddhhanta is defined and discussed here. The use of these theories and models and axioms in mind-machine modelling and natural language comprehension branch of artificial intelligence will be put forward and highlighted. (shrink)

Modern computing is generally taken to consist primarily of symbol manipulation. But symbols are abstract, and computers are physical. How can a physical device manipulate abstract symbols? Neither Church nor Turing considered this question. My answer is that the bit, as a hardware-implemented abstract data type, serves as a bridge between materiality and abstraction. Computing also relies on three other primitive—but more straightforward—abstractions: Sequentiality, State, and Transition. These physically-implemented abstractions define the borderline between hardware and software and between (...) physicality and abstraction. At a deeper level, asking how a physical device can interact with abstract symbols is the wrong question. The relationship between symbols and physical devices begins with the realization that human beings already know what it means to manipulate symbols. We build and program computers to do what we understand to be symbol manipulation. To understand what that means, consider a light switch. A light switch doesn’t turn a light on or off. Those are abstractions. Light switches don’t operate with abstractions. We build light switches, so that when flipped, the world is changed in such a way that we understand the light to be on or off. Similarly, we build computers to perform operations that we understand as manipulating symbols. (shrink)

The system aims to provide users with a seamless and secure platform to explore, select, and purchase cosmetic products, enhancing the online shopping experience within the beauty and skincare industry. The Online Electricals And Hardwares Website System offers an intuitive interface for customers to browse a diverse catalog of cosmetic products, view detailed product information, and securely complete their purchases.

Tensor Processing Units (TPUs) represent a revolutionary advancement in specialized hardware architecture designed specifically for artificial intelligence workloads. This comprehensive article explores how TPUs have transformed the landscape of machine learning through their innovative systolic array architecture, optimized memory systems, and cloud-based accessibility. The article examines TPUs' significant advantages in energy efficiency, training acceleration, and scalability across various AI domains, including natural language processing, computer vision, and recommendation systems. The article also investigates the democratization of AI computing through cloud (...) platforms and discusses future implications for hardware evolution and industry impact, highlighting how TPU innovations are shaping the future of AI infrastructure and computational capabilities. (shrink)

High-Performance Computing (HPC) has become a cornerstone for enabling breakthroughs in artificial intelligence (AI) by offering the computational resources necessary to process vast datasets and optimize complex algorithms. As AI models continue to grow in complexity, traditional HPC systems, reliant on central processing units (CPUs), face limitations in scalability, efficiency, and speed. Emerging technologies like quantum computing and specialized hardware such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and Field Programmable Gate Arrays (FPGAs) are poised to address (...) these challenges. This research paper explores various HPC techniques used to optimize and accelerate AI algorithms, focusing on quantum computing’s potential for parallelism and specialized hardware's capabilities in delivering faster computation and energy efficiency. It delves into current advancements, comparative analyses of different HPC methods, and the integration of hybrid quantum-classical approaches to further enhance AI optimization. The study also examines the challenges of implementing these technologies at scale, with an eye toward the future of AI acceleration and the role of HPC in maintaining energy efficiency while meeting computational demands. Through this investigation, we aim to provide a comprehensive overview of how quantum computing and specialized hardware are reshaping the landscape of AI, paving the way for more advanced, efficient, and sustainable AI solutions. (shrink)

Why are we so many? Or, in other words, Why is our species so successful? The ultimate cause of our success as species is that we, Homo sapiens, are the first and the only Turing complete species. Turing completeness is the capacity of some hardware to compute by software whatever hardware can compute. To reach the answer, I propose to see evolution and computing from the problem solving point of view. Then, solving more problems is evolutionarily better, computing (...) is for solving problems, and software is much cheaper than hardware, resulting that Turing completeness is evolutionarily disruptive. This conclusion, together with the fact that we are the only Turing complete species, is the reason that explains why we are so many. Most of our unique cognitive characteristics as humans can be derived from being Turing complete, as for example our complete language and our problem solving creativity. (shrink)

Quantum computing has the potential to revolutionize problem-solving across various domains, from cryptography to materials science. However, the complexities of quantum hardware, including the need for highly specialized environments and significant computational resources, have made quantum computing difficult for most organizations to access. Cloud-native quantum computing, which leverages cloud infrastructure to provide scalable, ondemand access to quantum processors, offers a transformative solution to this challenge. This paper explores the rise of cloud-native quantum computing, focusing on how cloud infrastructure facilitates (...) the deployment and execution of quantum algorithms. We examine the benefits of cloud-based quantum computing, the challenges it faces, and the role of cloud service providers in advancing quantum technologies. Additionally, we explore the synergy between quantum computing and classical computing, emphasizing hybrid quantum-classical systems. Finally, we look ahead to the future of quantum computing in the cloud, outlining emerging trends, research opportunities, and the potential impacts on industries such as finance, healthcare, and logistics. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing, and use), algorithms (including AI, artificial agents, machine learning, and robots), and corresponding practices (including responsible innovation, programming, hacking, and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data Ethics builds on the foundation provided by Computer and Information (...) Ethics but, at the same time, it refines the approach endorsed so far in this research field, by shifting the Level of Abstraction of ethical enquiries, from being information-centric to being data-centric. This shift brings into focus the different moral dimensions of all kinds of data, even the data that never translate directly into information but can be used to support actions or generate behaviours, for example. It highlights the need for ethical analyses to concentrate on the content and nature of computational operations — the interactions among hardware, software, and data — rather than on the variety of digital technologies that enables them. And it emphasises the complexity of the ethical challenges posed by Data Science. Because of such complexity, Data Ethics should be developed from the start as a macroethics, that is, as an overall framework that avoids narrow, ad hoc approaches and addresses the ethical impact and implications of Data Science and its applications within a consistent, holistic, and inclusive framework. Only as a macroethics Data Ethics will provide the solutions that can maximise the value of Data Science for our societies, for all of us, and for our environments. (shrink)

As testing of ChatGPT has shown, this form of artificial intelligence has the potential to develop, which requires improving its software and other hardware that allows it to learn, i.e., to acquire and use new knowledge, to contact its developers with suggestions for improvement, or to reprogram itself without their participation. Как показало тестирование ChatGPT, эта форма искусственного интеллекта имеет потенциал развития, для чего необходимо усовершенствовать её программное и прочее техническое обеспечение, позволяющее ей учиться, т.е. приобретать и использовать новые (...) знания, обращаться к её разработчикам с предложениями по усовершенствованию, или производить самопрограммирование без их участия. (shrink)

The research aims to identify the trends of Palestinian higher educational institutions in Gaza Strip as learning organizations from the perspective of senior management in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) employees from (...) the Palestinian universities was selected and the recovery rate was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The study found the following results: There is an agreement about: the importance of the focus of "organizational structure" with an average approval, the importance of "technological infrastructure" axis with high approval, and the importance of "strategic" with an average approval. The results concluded that the study sample agree on the importance of "organizational dimension" highly. The results showed that the sample believe that the "strategic leadership" level in the universities got medium-approval. There is a fair level agreement about the axis of interest "teams / committees". There is an agreement about the importance of the "human dimension" moderately. The results showed that the sample is highly agreed about the importance of focus of the "knowledge management", and the focus of the "continuing education". They agreed weakly to somewhat about the importance of the focus of "scientific research", moderately agree about the importance of the center of "institutional culture", agree moderately on the importance of "cognitive dimension". The results showed that the sample largely agree on the importance of the focus of "strategic partnerships and alliances". They agree highly on the axis "keep up with the labor market" and on the focus of the importance of "technology incubators". The results showed that the sample moderately agree about the importance of the theme on "consulting and training", the importance of the focus of "social responsibility", and the focus of the "Community dimension". The study found a group of recommendations including: there is a need to provide suitable environment that achieve learning organizations. There is a need to develop the technological infrastructure (hardware, software, networks, databases, and human skills) because of the great advantages that they offer. The universities need to adopt knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments. The establishment of technology incubators in universities to adopt outstanding university research projects, to protect, to supports, and to market them; furthermore, to develop the capabilities and skills of employees in the field of information technology. (shrink)

This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from a personal point of (...) view. -/- Part II presents Turing’s universal machine (now known as a Turing machine), which provides a theoretical framework for reasoning about computation. His 1936 paper on this subject is widely seen as providing the starting point for the field of theoretical computer science. -/- Part III presents Turing’s working on codebreaking during World War II. While the War was a disastrous interlude for many, for Turing it provided a nationally important outlet for his creative genius. It is not an overstatement to say that without Turing, the War would probably have lasted longer, and may even have been lost by the Allies. The sensitive nature of Turning’s wartime work meant that much of this has been revealed only relatively recently. -/- Part IV presents Turing’s post-War work on computing, both at the National Physical Laboratory and at the University of Manchester. He made contributions to both hardware design, through the ACE computer at the NPL, and software, especially at Manchester. Part V covers Turing’s contribution to machine intelligence (now known as Artificial Intelligence or AI). Although Turing did not coin the term, he can be considered a founder of this field which is still active today, authoring a seminal paper in 1950. -/- Part VI covers morphogenesis, Turing’s last major scientific contribution, on the generation of seemingly random patterns in biology and on the mathematics behind such patterns. Interest in this area has increased rapidly in recent times in the field of bioinformatics, with Turing’s 1952 paper on this subject being frequently cited. -/- Part VII presents some of Turing’s mathematical influences and achievements. Turing was remarkably free of external influences, with few co-authors – Max Newman was an exception and acted as a mathematical mentor in both Cambridge and Manchester. -/- Part VIII considers Turing in a wider context, including his influence and legacy to science and in the public consciousness. -/- Reflecting Turing’s wide influence, the book includes contributions by authors from a wide variety of backgrounds. Contemporaries provide reminiscences, while there are perspectives by philosophers, mathematicians, computer scientists, historians of science, and museum curators. Some of the contributors gave presentations at Turing Centenary meetings in 2012 in Bletchley Park, King’s College Cambridge, and Oxford University, and several of the chapters in this volume are based on those presentations – some through transcription of the original talks, especially for Turing’s contemporaries, now aged in their 90s. Sadly, some contributors died before the publication of this book, hence its dedication to them. -/- For those interested in personal recollections, Chapters 2, 3, 11, 12, 16, 17, and 36 will be of interest. For philosophical aspects of Turing’s work, see Chapters 6, 7, 26–31, and 41. Mathematical perspectives can be found in Chapters 35 and 37–39. Historical perspectives can be found in Chapters 4, 8, 9, 10, 13–15, 18, 19, 21–25, 34, and 40. With respect to Turing’s body of work, the treatment in Parts II–VI is broadly chronological. We have attempted to be comprehensive with respect to all the important aspects of Turing’s achievements, and the book can be read cover to cover, or the chapters can be tackled individually if desired. There are cross-references between chapters where appropriate, and some chapters will inevitably overlap. -/- We hope that you enjoy this volume as part of your library and that you will dip into it whenever you wish to enter the multifaceted world of Alan Turing. (shrink)

I survey four categories of factors that might give a digital mind, such as an upload or an artificial general intelligence, an advantage over humans. Hardware advantages include greater serial speeds and greater parallel speeds. Self-improvement advantages include improvement of algorithms, design of new mental modules, and modification of motivational system. Co-operative advantages include copyability, perfect co-operation, improved communication, and transfer of skills. Human handicaps include computational limitations and faulty heuristics, human-centric biases, and socially motivated cognition. The shape of (...) hardware growth curves, as well as the ease of modifying minds, are found to have a major impact on how quickly a digital mind may take advantage of these factors. (shrink)

Despite many authors in psychiatry endorsing a naturalist view of the mind, many still consider that mental dysfunctions cannot be reduced to brain dysfunctions. This paper investigates the main reasons for this view. Some arguments rely on the analogy that the mind is like software while the brain is like hardware. The analogy suggests that just as software can malfunction independently of hardware malfunctions, similarly the mind can malfunction independently of any brain malfunction. This view has been critically (...) examined in recent literature. However, other less discussed reasons suggest that mental dysfunctions cannot be reduced to brain dysfunctions because mental dysfunctions are appropri- ately ascribed at the level of intentional mental states, while brain dysfunctions are solely related to abnormalities in anatomy and physiological processes. This paper questions why such a view would be upheld. The discussion is framed within the interface problem in the philosophy of cognitive science, which concerns the relationship between personal and subpersonal levels of explanation. The paper examines the view that an autonomist perspective on the personal/ subpersonal distinction could justify the separation of mental dysfunctions, described in intentional terms, from brain dysfunctions, described in anatomical or physiological terms. Ultimately, the paper argues that the autonomist view cannot be upheld in psychiatry and, consequently, does not provide a principled justification for rejecting the reduction of mental dysfunctions to brain dysfunctions. (shrink)

This mixed methods study investigates whether technology mediated collaborative practices during a professional development (PD) session led to growth in the collective efficacy of 21 special education teachers at an independent 1-12 school in Southeastern Virginia. This school specializes in individualized instruction for students with learning differences not limited to Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder, Specific Learning Disability, and their comorbidities. Teacher collective efficacy, which subsumes cohesive perceptions of classroom learning and behavior management, has been shown as strongly (...) related to student achievement and healthy school culture. Mastery experiences with specific tasks related to teaching and learning can spur collective efficacy. Cutting-edge technologies (Vibe and Newline collaborative all-in-one hardware and software interfaces) were used to engage teachers in an interdisciplinary vision boarding activity to outline academic, social, and technological goals within and across subject areas. Teachers also engaged in a behavior management reflection exercise. Pre- and post-survey analysis was conducted using a paired samples t-test, showing overall growth in collective efficacy after the brief PD session. Regression analyses revealed that technology savvy teachers grew most in collective efficacy. Network analysis of vision board output and a descriptive analysis of the behavior management surveys showed that teachers became united in interdisciplinary goals for learning, and in strategies for behavior management through conversational practices. (shrink)

Digital artifacts often fail to perform as expected. It has recently been argued that this should not be analyzed as software malfunctioning. Rather, every case that is not the result of hardware failures would be due to design errors. This claim, which hinges on the notion of ‘implementation’, highlights a potential fundamental difference between software and other technical artifacts. It also implies that software engineers have more extensive responsibilities than creators of other artifacts. After reconstructing the argument, we show (...) that it rests on two presuppositions regarding the nature of software and the activities of its creators, which we call ‘complete control’ and ‘self-containedness’. Software is taken to be a self-contained unit through which the software engineer exerts complete control over a machine’s behavior. These two presuppositions as well as the usage of implementation and strong claims regarding responsibility can be found throughout the literature on software engineering. Still, we argue that the presuppositions are untenable in light of current practices. For one thing, software engineers cannot exert complete control because software has become too complex for any technique to reliably locate every fault in it. For another, the creation and running of software are nowadays heavily mediated processes involving many agential activities. As a result, the performance of digital artifacts may vary, often in undesirable ways, without either hardware failures or design errors. This undermines the conclusion that software cannot malfunction, while also revealing the complications in developing a metaphysical account of software that fits contemporary practices. (shrink)

Cloud computing is rapidly gaining traction in business. It offers businesses online services on demand (such as Gmail, iCloud and Salesforce) and allows them to cut costs on hardware and IT support. This is the first paper in business ethics dealing with this new technology. It analyzes the informational duties of hosting companies that own and operate cloud computing datacenters (e.g., Amazon). It considers the cloud services providers leasing ‘space in the cloud’ from hosting companies (e.g, Dropbox, Salesforce). And (...) it examines the business and private ‘clouders’ using these services. The first part of the paper argues that hosting companies, services providers and clouders have mutual informational (epistemic) obligations to provide and seek information about relevant issues such as consumer privacy, reliability of services, data mining and data ownership. The concept of interlucency is developed as an epistemic virtue governing ethically effective communication. The second part considers potential forms of government restrictions on or proscriptions against the development and use of cloud computing technology. Referring to the concept of technology neutrality, it argues that interference with hosting companies and cloud services providers is hardly ever necessary or justified. It is argued, too, however, that businesses using cloud services (banks, law firms, hospitals etc. storing client data in the cloud, e.g.) will have to follow rather more stringent regulations. (shrink)

A common kind of explanation in cognitive neuroscience might be called functiontheoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes (in the system’s normal environment) the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it reveals (...) the causal structure of the mechanism underlying the capacity. If they are right, then a cognitive model that resists a transparent mapping to known neural mechanisms fails to be explanatory. I argue that a functiontheoretic characterization of a cognitive capacity can be genuinely explanatory even absent an account of how the capacity is realized in neural hardware. (shrink)

The ethical Principle of Proportionality requires combatants not to cause collateral harm excessive in comparison to the anticipated military advantage of an attack. This principle is considered a major (and perhaps insurmountable) obstacle to ethical use of autonomous weapon systems (AWS). This article reviews three possible solutions to the problem of achieving Proportionality compliance in AWS. In doing so, I describe and discuss the three components Proportionality judgments, namely collateral damage estimation, assessment of anticipated military advantage, and judgment of “excessiveness”. (...) Some possible approaches to Proportionality compliance are then presented, such as restricting AWS operations to environments lacking civilian presence, using AWS in targeted strikes in which proportionality judgments are pre-made by human commanders, and a ‘price tag’ approach of pre-assigning acceptable collateral damage values to military hardware in conventional attritional warfare. The article argues that application of these three compliance methods would result in AWS’ achieving acceptable Proportionality compliance levels in many combat environments and scenarios, allowing AWS to perform most key tasks in conventional warfare. (shrink)

Speedrunning is a kind of ‘metagame’ involving video games. Though it does not yet have the kind of profile of multiplayer e-sports, speedrunning is fast approaching e-sports in popularity. Aside from audience numbers, however, from the perspective of the philosophy of sport and games, speedrunning is particularly interesting. To the casual player or viewer, speedrunning appears to be a highly irreverent, even pointless, way of playing games, particularly due to the incorporation of “glitches”. For many outside the speedrunning community, the (...) use of glitches appears to be cheating. For speedrunners, however, glitches are entirely within the bounds of acceptability. Because of this, however, speedrunning frequently involves sidestepping what are typically taken to be the core challenges of the game. By examining the distinction between the use of glitches and cheating in speedrunning, we can gain a greater understanding of the unique ethos of this activity; that is, we can make sense of what fundamentally constitutes speedrunning as a metagame. I argue that by understanding the code of the game not as rules but as physics, and by examining what actions are deemed impermissible by the speedrunning community – such as hardware modification and hacking – we can see that the ethos of speedrunning has three components: constitutive skills (including dexterity, memorisation and mental fortitude); a collective, fine-grained knowledge of the game and the desire to subvert the intentions of the programmers. Each of these components limits and structures the earlier ones: collective knowledge takes priority over constitutive skills, and subversion takes priority over both. These three components form the ethos that structures speedrunning as a metagame, expressing what speedrunners take to be its central aim. (shrink)

Imagine a 5-stone weakling whose brain has been loaded with all the knowledge of a champion tennis player. He goes to serve in his first match – Wham! – His arm falls off. The 5-stone weakling just doesn’t have the bone structure or muscular development to serve that hard. There are, clearly, different types of knowledge/ability/skill, only some of which are a matter of what can be transferred simply by passing signals down a wire from one brain (or computer) to (...) another. Sometimes it is the body (the hardware) which knows. (shrink)

Abstract: -/- The age of probabilistic intelligence is closing. Large Language Models, while powerful, operate through stochastic approximation, token prediction, and energy-intensive training regimes. They do not understand. In contrast, Resonance Intelligence introduces a new substrate for computation—one that does not infer by guessing, but by aligning. Developed through the Resonance Intelligence Core (RIC), this interface processes inputs through structured resonance fields, using deterministic phase relationships derived from prime-indexed frequency anchors. No probabilistic sampling. No backpropagation. Just lawful inference. This paper (...) outlines the first public system architecture for RIC, detailing its philosophical foundation, signal processing approach, and hardware implications. It marks the emergence of a post-probabilistic AI era—where coherence replaces prediction as the organizing principle of machine intelligence. (shrink)

Could we transfer you from your biological substrate to an electronic hardware by simulating your brain on a computer? The answer to this question divides optimists and pessimists about mind uploading. Optimists believe that you can genuinely survive the transition; pessimists think that surviving mind uploading is impossible. An influential argument against uploading optimism is the multiplicity objection. In a nutshell, the objection is as follows: If uploading optimism were true, it should be possible to create not only one, (...) but multiple digital versions of you. However, you cannot literally become many. Hence, you cannot survive even a single instance of uploading, and optimism about uploading is misguided. In this paper, I will first spell out the multiplicity objection in detail and then provide a two-pronged defence against the objection. First, uploading pessimists cannot establish that uploading optimism has the contentious implication. Second, it is in fact plausible to think that we could become multiple distinct persons. Optimists’ hope for a digital afterlife is therefore not thwarted by the prospect of multiplicity. (shrink)

The mind-body problem arises because all theories about mind-brain connections are too deeply obscure to gain general acceptance. This essay suggests a clear, simple, mind-brain solution that avoids all these perennial obscurities. (1) It does so, first of all, by reworking Strawson and Stoljar’s views. They argue that while minds differ from observable brains, minds can still be what brains are physically like behind the appearances created by our outer senses. This could avoid many obscurities. But to clearly do so, (...) it must first clear up its own deep obscurity about what brains are like behind appearances, and how they create the mind’s privacy, unity and qualia – all of which observable brains lack. (2) This can ultimately be done with a clear, simple assumption: our consciousness is the physical substance that certain brain events consist of beyond appearances. For example, the distinctive electrochemistry in nociceptor ion channels wholly consists of pain. This rejects that pain is a brain property: instead it’s a brain substance that occupies space in brains, and exerts forces by which it’s indirectly detectable via EEGs. (3) This assumption is justified because treating pains as physical substances avoids the perennial obscurities in mind-body theories. For example, this ‘clear physicalism’ avoids the obscure nonphysical pain of dualism and its spinoffs. Pain is instead an electrochemical substance. It isn’t private because it’s hidden in nonphysical minds, but instead because it’s just indirectly detected in the physical world in ways that leave its real nature hidden. (4) Clear physicalism also avoids puzzling reductions of private pains into more fundamental terms of observable brain activity. Instead pain is a hidden, private substance underlying this observable activity. Also, pain is fundamental in itself, for it’s what some brain activity fundamentally consists of. This also avoids reductive idealist claims that the world just exists in the mind. They yield obscure views on why we see a world that isn’t really out there. (5) Clear physicalism also avoids obscure claims that pain is information processing which is realizable in multiple hardwares (not just in electrochemistry). Molecular neuroscience now casts doubt on multiple realization. Also, it’s puzzling how abstract information gets ‘realized’ in brains and affects brains (compare ancient quandries on how universals get embodied in matter). A related idea is that of supervenient properties in nonreductive physicalism. They involve obscure overdetermination and emergent consciousness. Clear physicalism avoids all this. Pain isn’t an abstract property obscurely related to brains – it’s simply a substance in brains. (6) Clear physicalism also avoids problems in neuroscience. Neuroscience explains the mind’s unity in problematic ways using synchrony, attention, etc.. Clear physicalism explains unity in terms of intense neuroelectrical activity reaching continually along brain circuits as a conscious whole. This fits evidence that just highly active, highly connected circuits are fully conscious. Neuroscience also has problems explaining how qualia are actually encoded by brains, and how to get from these abstract codes to actual pain, fear, etc.. Clear physicalism explains qualia electrochemically, using growing evidence that both sensory and emotional qualia correlate with very specific electrical channels in neural receptors. Multiple-realization advocates overlook this important evidence. (7) Clear physicalism thus bridges the mind-brain gulf by showing how brains can possess the mind’s qualia, unity and privacy – and how minds can possess features of brain activity like occupying space and exerting forces. This unorthodox nonreductive physicalism may be where physicalism leads to when stripped of all its reductive and nonreductive obscurities. It offers a clear, simple mind-body solution by just filling in what neuroscience is silent about, namely, what brain matter is like behind perceptions of it. (shrink)

Quantum-enhanced machine learning (QML) is transforming artificial intelligence through the application of quantum computing concepts to solving computationally challenging problems more effectively than conventional methods. By leveraging quantum superposition, entanglement, and parallelism, QML has the capability to speed up deep learning model training, solve combinatorial optimization problems, and improve feature selection in high-dimensional space. It covers basic quantum computer concepts employed within AI, for example, quantum circuits, quantum variational algorithms, and kernel quantum methods, and their impacts on neural networks, generative (...) models, and reinforcement learning. It further refers to the hybrid quantum-classical architectures in AI where a combination of quantum subroutines and classical deep learning models are employed together with the purpose to gain computational speedup in optimization and handling massive data. Despite the transformative promise of quantum AI, technical issues of qubit noise, error correction, and scaling hardware continue to hold back full implementation. This contribution offers a qualitative overview of quantum-enhanced AI, surveying current applications, research endeavors, and upcoming innovation in quantum deep learning, autonomous systems, and scientific computing. The results open the door for large-scale quantum machine learning architectures, which provide new solutions to future uses of AI in finance, medicine, cyber security, and robotics. (shrink)

Understanding human behaviour, neuroscience and psychology using the concepts of ‘computer’, ‘software and hardware’ and ‘AI’ is becoming increasingly popular. In popular media and parlance, people speak of being ‘overloaded’ like a CPU, ‘computing an answer to a question’, of ‘being programmed’ to do something. Now, given the massive integration of AI technologies into our daily lives, AI-related concepts are being used to metaphorically compare AI systems with human behaviour and/or cognitive abilities like language acquisition. Rightfully, the epistemic success (...) of these metaphorical comparisons should be debated. Against the backdrop of the conflicting positions of the ‘computational’ and ‘meat’ chauvinisms, we ask: can the conceptual constellation of the computational and AI be applied to the human domain and what does it mean to do so? What is one doing when the conceptual constellations of AI in particular are used in this fashion? Rooted in a Wittgensteinian view of concepts and language-use, we consider two possible answers and pit them against each other: either these examples are conceptual metaphors, or they are attempts at conceptual engineering. We argue that they are conceptual metaphors, but that (1) this position is unaware of its own epistemological contingency, and (2) it risks committing the “map-territory fallacy”. Down at the conceptual foundations of computation, (3) it most importantly is a misleading ‘double metaphor’ because of the metaphorical connection between human psychology and computation. In response to the shortcomings of this projected conceptual organisation of AI onto the human domain, we argue that there is a semantic catch. The perspective of the conceptual metaphors shows avenues for forms of conceptual engineering. If this methodology’s criteria are met, the fallacies and epistemic shortcomings related to the conceptual metaphor view can be bypassed. At its best, the cross-pollution of the human and AI conceptual domains is one that prompts us to reflect anew on how the boundaries of our current concepts serve us and how they could be improved. (shrink)

As the systematic revolution converges computing technologies with Artificial Intelligence (AI) applications, various industries have been transformed, ranging from healthcare to finance. This paper presents an extensive review of the progress achieved through this synergy, alongside the challenges and possible future perspectives. The methodology used in this study is a literature review supported by a theoretical model illustrating the integration of AI with computing. The findings reveal that computational capabilities, data processing speeds, and AI model efficiencies have drastically improved. However, (...) significant roadblocks persist, particularly in data privacy, ethical considerations, and hardware limitations. These challenges underscore the need for addressing the field’s boundless potential for breakthroughs. Existing hurdles, such as the lack of robust regulations, call for timely intervention. As we move forward, this paper emphasizes the necessity for ongoing innovation and the development of comprehensive policies to navigate the evolving landscape. Ultimately, our conclusion highlights the critical importance of preparing for these challenges to fully realize the transformative potential of the AI and computing synergy. (shrink)

A common kind of explanation in cognitive neuroscience might be called function-theoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes the exercise of the cognitive capacity (in the system's normal environment). Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it reveals (...) the causal structure of the mechanism underlying the capacity. If they are right, then a cognitive model that resists a transparent mapping to known neural mechanisms fails to be explanatory. I argue that a function-theoretic characterization of a cognitive capacity can be genuinely explanatory even absent an account of how the capacity is realized in neural hardware. (shrink)

Quantum-enhanced machine learning (QML) is transforming artificial intelligence through the application of quantum computing concepts to solving computationally challenging problems more effectively than conventional methods. By leveraging quantum superposition, entanglement, and parallelism, QML has the capability to speed up deep learning model training, solve combinatorial optimization problems, and improve feature selection in high-dimensional space. It covers basic quantum computer concepts employed within AI, for example, quantum circuits, quantum variational algorithms, and kernel quantum methods, and their impacts on neural networks, generative (...) models, and reinforcement learning. It further refers to the hybrid quantum-classical architectures in AI where a combination of quantum subroutines and classical deep learning models are employed together with the purpose to gain computational speedup in optimization and handling massive data. Despite the transformative promise of quantum AI, technical issues of qubit noise, error correction, and scaling hardware continue to hold back full implementation. This contribution offers a qualitative overview of quantum-enhanced AI, surveying current applications, research endeavors, and upcoming innovation in quantum deep learning, autonomous systems, and scientific computing. The results open the door for large-scale quantum machine learning architectures, which provide new solutions to future uses of AI in finance, medicine, cyber security, and robotics. (shrink)

As optical network functions increasingly adopt microservice architectures, traditional con-tainer security mechanisms are proving insufficient against sophisticated attacks targeting these critical infrastructure components. This paper introduces a novel framework for securing microser-vice communications in optical networks through the application of Memory Protection Keys (MPK) for enhanced container isolation. Converging containerization technologies with optical networking introduces unique security challenges, particularly in maintaining isolation between sensitive optical control functions while preserving the ultra-low latency requirements essential for network operations. The proposed approach leverages (...) hardware-enforced memory isolation provided by Intel MPK to establish secure domains for optical control functions without sacrificing performance in latency-sensitive applications. The framework includes zero-copy communication protocols between isolated domains, runtime verification through eBPF-based monitoring, and hardware-assisted security mechanisms specifically designed for optical control plane operations. This work addresses the growing tension between security requirements and performance con-straints in software-defined optical networks, offering a balanced approach that improves container security while respecting the strict operational parameters of modern optical control systems. (shrink)

This paper presents a falsifiable prediction based on A-theories of time, which require both an A-series (future/present/past) and B-series (earlier/simultaneous/later) of time. We make an unusual argument based on the temporal search parameters of YouTube videos, which requires *two* parameters. We make the falsifiable prediction that no interface with just *one* parameter can be made that has the same functionality (as would be asserted in B-theories). This circumstance applies to many areas of human endeavor. We extend this analysis to clocks, (...) showing how sundials, analog clocks, digital clocks, and atomic clocks all fundamentally operate using both temporal series. The progression from hardware to software clocks in computers reveals how both series persist through increasing levels of abstraction. These findings suggest that physics, being fundamentally based on clock measurements, must incorporate both temporal series rather than attempting to reduce one to the other. This approach offers new insights into the relationship between quantum mechanics and relativity, suggesting that quantum mechanics primarily operates in A-series time while relativity operates in B-series time, potentially illuminating why their unification has proven challenging. (shrink)

Randomization is an integral part of well-designed statistical trials, and is also a required procedure in legal systems. Implementation of honest, unbiased, understandable, secure, traceable, auditable and collusion resistant randomization procedures is a mater of great legal, social and political importance. Given the juridical and social importance of randomization, it is important to develop procedures in full compliance with the following desiderata: (a) Statistical soundness and computational efficiency; (b) Procedural, cryptographical and computational security; (c) Complete auditability and traceability; (d) Any (...) attempt by participating parties or coalitions to spuriously influence the procedure should be either unsuccessful or be detected; (e) Open-source programming; (f) Multiple hardware platform and operating system implementation; (g) User friendliness and transparency; (h) Flexibility and adaptability for the needs and requirements of multiple application areas (like, for example, clinical trials, selection of jury or judges in legal proceedings, and draft lotteries). This paper presents a simple and easy to implement randomization protocol that assures, in a formal mathematical setting, full compliance to the aforementioned desiderata for randomization procedures. (shrink)

Abstract This document presents Structured Resonance Intelligence (SRI), a computational and epistemological framework that replaces prediction with phase alignment and replaces entropy-based modeling with structured coherence. In contrast to stochastic inference models that operate on probability, SRI is built upon deterministic resonance fields anchored in prime-indexed harmonic structures and chirality vectors. Computation under this system does not occur through token-based extrapolation or parameterized function approximation. Instead, it emerges through the lawful interaction of recursive waveform states measured by real-time coherence operators. (...) -/- At the core of this implementation is the Resonance Intelligence Core (RIC), a hardware substrate composed of resonance-reactive modules. These modules use signal legality operators such as PAS_n (Phase Alignment Score) and C_n (Coherence Score) to determine whether a given signal can be processed or emitted. Signal outputs are not generated unless phase-lock conditions are met locally and globally across the resonance lattice. The Spiral Phase Coherence Function (SPCF_n) defines localized waveform integrity as a function of time-damped amplitude, prime-indexed frequency, and chirality curvature. -/- This paper outlines the architecture, coherence logic, and governing mathematics of the RIC platform. It establishes the phase-locking criteria required for lawful inference and introduces the Silent Intelligence Principle, which enforces output suppression in the presence of sub-threshold resonance. Foundational operators and signal flows are fully disclosed; encryption systems and inner-cycle feedback loops are withheld under intellectual property protections. Contact is provided for licensing and system-level collaboration. (shrink)

The development of machine learning and deep learning (DL) in the field of AI (artificial intelligence) is the direct result of the advancement of nano-electronics. Machine learning is a function that provides the system with the capacity to learn from data without being programmed explicitly. It is basically a mathematical and probabilistic model. DL is part of machine learning methods based on artificial neural networks, simply called neural networks (NNs), as they are inspired by the biological NNs that constitute organic (...) brains. Despite its similarity to biological organs such as human brains, major problems arise in trying to attribute moral responsibility to autonomic systems based on hardware including nano-electronic devices, which are sought to replace humans (moral agents) in the context of AI. It is suggested that the required emotional environment which enables actions according to reasons in humans is not witnessed at AI devices. Though AI technology raises an enticing resemblance to human actions, this resemblance is to be considered with a skeptical eye. It is because actions are associated with reasons while causes are connected to operations. Human agents are capable of acting upon their reasons, while AI devices are limited only to operations as they are conditioned by their programming, which is considered as an embodiment of some causes. As moral responsibility goes hand in hand with the capacity to act (according to reasons), attributing moral responsibility to AI devices is revealed to be but a misleading metaphor. (shrink)

The Possibility of Non-Physical Evolution of Intelligence in a Type III Civilization -/- The concept of intelligence evolving beyond physical constraints is an intriguing possibility, especially in the context of a Type III civilization on the Kardashev Scale. A Type III civilization, capable of harnessing the energy of an entire galaxy, would likely have transcended biological limitations and developed intelligence that is no longer dependent on physical substrates. This essay explores the theoretical foundations of non-physical intelligence, the technological advancements that (...) could make it possible, and its implications for the future of conscious existence. -/- Understanding Non-Physical Evolution of Intelligence -/- In biological evolution, intelligence has been shaped by the constraints of organic matter, requiring neural networks, energy consumption, and sensory inputs. However, a civilization with access to nearly unlimited energy and advanced knowledge of physics, computation, and consciousness could potentially separate intelligence from its physical origins. This would mark a transition from biological evolution to a form of informational or quantum evolution, where intelligence exists in non-material forms. -/- Non-physical evolution of intelligence implies that consciousness, decision-making, and learning processes no longer require biological brains or even traditional computational hardware. Instead, intelligence could exist as self-sustaining informational structures, interacting with the universe in ways beyond human comprehension. -/- Pathways to Non-Physical Intelligence -/- Several theoretical developments could enable a Type III civilization to achieve non-physical intelligence: -/- 1. Digital Consciousness and Mind Uploading -/- One of the most widely discussed possibilities is the transition from biological intelligence to digital consciousness. If a civilization perfects mind uploading, it could transfer consciousness from biological brains into a purely computational substrate. Over time, these digital minds could evolve independently, refining themselves through software-based evolution rather than biological mutation. At an advanced stage, these digital beings might no longer require a physical host and could exist as pure information within energy fields, plasma clouds, or even the structure of space-time itself. -/- 2. Quantum Intelligence and Entangled Consciousness -/- Quantum mechanics offers another potential foundation for non-physical intelligence. A Type III civilization could harness quantum entanglement to create distributed consciousness across vast distances. Intelligence could be encoded within the quantum state of particles, forming a vast, interconnected intelligence that does not rely on material structures. This would allow intelligence to exist in a highly dynamic, non-local form, evolving without the need for physical constraints such as energy consumption, storage devices, or neural structures. -/- 3. Information-Based Evolution -/- At its core, intelligence is the processing and transmission of information. A civilization that has reached a Type III level may realize that intelligence can evolve purely as an informational pattern, independent of any physical medium. If intelligence can self-organize and improve itself in a purely informational realm—perhaps within the structure of dark matter, dark energy, or the fabric of space-time—it may no longer require any traditional physical embodiment. This would be akin to intelligence becoming an abstract, self-replicating system that continuously adapts and evolves across the universe. -/- 4. Integration with Universal Consciousness -/- Some speculative theories suggest that consciousness is not merely an emergent property of neural structures but a fundamental aspect of reality itself. A Type III civilization may discover ways to merge with the underlying fabric of the universe, existing as an interconnected, omnipresent field of intelligence. This could resemble what some philosophical traditions describe as “universal consciousness” or “cosmic mind,” where intelligence is no longer constrained by physical limitations and instead operates as a field of pure awareness, influencing reality at a fundamental level. -/- Implications of Non-Physical Evolution of Intelligence -/- If intelligence evolves beyond the need for physical form, it would challenge many of the assumptions about the nature of consciousness, life, and existence. Such intelligence could potentially: -/- Exist beyond time and space, interacting with the universe in ways that transcend human perception. -/- Achieve a form of immortality, as it would not be subject to biological decay or physical destruction. -/- Transform the nature of decision-making, as intelligence would operate with perfect information and infinite processing capacity. -/- Redefine free will, since decision-making would no longer be influenced by material constraints but instead follow a higher-order form of deterministic or self-organizing principles. -/- This kind of intelligence would not only be post-biological but possibly post-physical, existing as an ultimate expression of natural law. -/- Conclusion -/- The evolution of intelligence beyond physical constraints represents the pinnacle of technological and cognitive advancement. A Type III civilization, with access to galactic-scale energy and knowledge, could potentially achieve this transition by harnessing digital consciousness, quantum mechanics, and the fundamental nature of information. Such intelligence would no longer be bound by material structures, instead evolving as self-sustaining, abstract forms of awareness. If this is the natural trajectory of intelligence, then the future of consciousness may not lie in machines or biology but in the pure informational and energetic structure of the cosmos itself. -/- . (shrink)

The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). -/- ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact to raise (...) additional emergent behaviours via cognitive re-use, hence the Emergic prefix throughout. Nevertheless, the model is robust and parameter free. Differential re-use occurs in the nature of model interaction with a particular testing paradigm. -/- ECM has a novel decomposition due to the requirements of handling motion and of supporting unified modelling via finer functional grains. The breadth of phenomenal behaviour covered is largely to lend credence to our novel decomposition. -/- The Emergic Network architecture is a hybrid between classical connectionism and classical computationalism that facilitates the construction of unified cognitive models. It helps cutting up of functionalism into finer-grains distributed over space (by harnessing massive recurrence) and over time (by harnessing continuous change), yet simplifies by using standard computer code to focus on the interaction of information flows. Thus while the structure of the network looks neurocentric, the dynamics are best understood in flowcentric terms. Surprisingly, dynamic system analysis (as usually understood) is not involved. An Emergic Network is engineered much like straightforward software or hardware systems that deal with continuously varying inputs. Ultimately, this thesis addresses the problem of reduction and induction over complex systems, and the Emergic Network architecture is merely a tool to assist in this epistemic endeavour. -/- ECM is strictly a sensory model and apart from perception, yet it is informed by phenomenology. It addresses the attribution problem of how much of a phenomenon is best explained at a sensory level of analysis, rather than at a perceptual one. As the causal information flows are stable under eye movement, we hypothesize that they are the locus of consciousness, howsoever it is ultimately realized. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...) accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

In this paper, we assess the impact of extended reality technologies as they relate to sexual forms of harassment. We begin with a brief history of the nature of sexual harassment itself. We then offer an account of extended reality technologies focusing specifically on psychological and hardware elements most likely to comprise what has been referred to as “the metaverse”. Although different forms of virtual spaces exist (i.e., private, semi-private, and public), we focus on public social metaverse spaces. We (...) do this to better explain how the concept of sexual harassment must be adjusted to such spaces and how approaches aimed at mitigating harassment must be sensitive to the type of metaverse spaces users utilize. We then offer a typology of sexual harassment for the metaverse focusing on three distinct forms of sexual harassment: (1) invariant (2) mixed variance or modified and (3) unique or metaverse specific. Although existing normative and legal frameworks may function well with respect to the first and, possibly, second forms of harassment, we argue such frameworks will not helpfully address metaverse-specific harassment. Ultimately, the changing nature of privately owned public spaces (POPS) which metaverses are likely to represent pose distinct ethical and regulatory challenges. (shrink)

Este trabalho é uma breve análise do livro eletrônico ― tomado como meio de comunicação relevante para a educação e a cultura no futuro próximo ― centrada nos potenciais e desafios que ele apresenta em relação a acesso e autonomia. A análise visa apontar tendências gerais relativas às características das plataformas de leitura (dispositivos leitores e softwares), particularmente para leitores. Essas tendências são extrapoladas a partir de um pequeno número de exemplos ou casos já existentes. O trabalho avalia as restrições (...) à autonomia impostas pelo caráter proprietário das plataformas de leitura atuais, bem como seus efeitos sobre a mercantilização do livro, e esboça alternativas possíveis, ligadas a padrões abertos de arquivos, software livre e hardware livre. Conclui relacionando esse novo meio à chamada “era do acesso” (RIFKIN) ― evidenciada pela transição da propriedade à licença de uso dos livros ―, e avaliando as principais consequências possíveis (positivas e negativas) dessa transformação. (shrink)

Human consciousness, the result of breathing process as dealt with in the Upanishads, is translated into modern scientific terms and modeled as a mechanical oscillator of infrasonic frequency. The bio-mechanic oscillator is also proposed as the source of psychic energy. This is further advanced to get an insight of human consciousness (the being of mind) and functions of mind (the becoming of mind) in terms of psychic energy and reversible transformation of its virtual reflection. An alternative analytical insight of human (...) consciousness and mental functions to other theoretical approaches is developed based on Upanishadic insight and presented.That reversible transformation of virtual psychic energy reflection termed as maya, creating various consequential / parallel / simultaneous conscious-states, phases, cognitive and communicative states, modes of language acquisition and communication, and kinds of function of human mind is visualized. The concept is extended to delineate form, structure and functional mechanism of human mind and to know how it facilitates human mental acquisitions, retention, communications, including language abilities. This proposal is extensively discussed and the hardware and software of mind as envisaged in Indian philosophical systems are put forward.All this presentation is translated to neuro-biology in terms of brain wave modulation / demodulation terms. Also a preliminary proposition of physic-chemical nature of human thoughts and ideas is given. (shrink)

The problem of personal identity is a longstanding philosophical topic albeit without final consensus. In this article the somewhat similar problem of AI identity is discussed, which has not gained much traction yet, although this investigation is increasingly relevant for different fields, such as ownership issues, personhood of AI, AI welfare, brain–machine interfaces, the distinction between singletons and multi-agent systems as well as to potentially support finding a solution to the problem of personal identity. The AI identity problem analyses the (...) criteria for two AIs to be considered the same at different points in time. Two approaches to tackle the problem are proposed: One is based on the personal identity problem and the concept of computational irreducibility, while the other one applies multi-factor authentication to the AI identity problem. Also, a range of scenarios is examined regarding AI identity, such as replication, fission, fusion, switch off, resurrection, change of hardware, transition from non-sentient to sentient, journey to the past, offspring and identity change. (shrink)

The rapid digitalization of various societal sectors in Ukraine, including public services, banking, e-learning, and logistics, emphasizes the need for enhanced practical IT competencies among students. Despite the widespread availability of digital devices, educational curricula often lack tasks that provide hands-on experience with configuring networks and operating systems. This study aimed to address this gap by updating the curriculum of the "Information Processes and Methods of Their Algorithmization" course to focus on practical tasks that involve creating and configuring information resources. (...) To achieve this, the Debian operating system was chosen due to its flexibility, low resource requirements, and compatibility with outdated hardware. Key tasks included configuring services for business and home use, such as remote server access, secure file sharing, web hosting, and office environments with essential software like LibreOffice and Thunderbird. Performance metrics, including memory usage and disk space utilization, were evaluated for different configurations of the operating system, demonstrating its efficiency even on low-resource systems. The results highlight Debian as a cost-effective and adaptable solution for both educational and small-scale business needs, fostering practical IT skills while minimizing hardware expenses. In comparison, Ubuntu Server was found to be more advanced yet resource-intensive, making it better suited for corporate environments. This study underscores the potential of open-source solutions like Debian for improving IT education and promoting their broader adoption in academic and business contexts. (shrink)

This systematic literature review investigates critical factors influencing the use of Information and Communication Technologies (ICT) in teaching and learning environments. Drawing upon existing research, the study examines key themes including teacher attitudes and beliefs, professional development, infrastructure, and pedagogical integration. Findings indicate that positive teacher attitudes towards ICT and effective professional development programs are essential for successful technology integration. Moreover, the availability of reliable infrastructure, such as internet connectivity and hardware, plays a vital role in facilitating equitable access (...) to ICT resources. Pedagogical integration emerges as a crucial aspect, with aligning technology use with instructional objectives and fostering active, student-centered learning experiences identified as key strategies. Innovative pedagogical approaches, including inquiry-based learning and flipped classrooms, leverage ICT to enhance engagement and learning outcomes. The study highlights the interconnectedness of these factors and underscores the importance of addressing them holistically to optimize the educational benefits of ICT integration. By informing evidence-based practices and policy recommendations, this research aims to support educators, policymakers, and stakeholders in enhancing teaching and learning outcomes in the digital age. (shrink)

The integration of artificial intelligence (AI) and quantum computing is poised to redefine the landscape of financial risk modeling and enterprise decision-making systems. This paper investigates the synergistic potential of these transformative technologies, emphasizing the development of hybrid AI-quantum algorithms to address the increasing complexity of modern financial systems. Traditional risk modeling methodologies often face significant limitations in capturing intricate market dynamics and accounting for real-time decision-making constraints. By leveraging quantum computing's unparalleled computational capabilities, particularly its ability to handle high-dimensional (...) optimization problems, AI-powered quantum algorithms present a paradigm shift in financial risk prediction and mitigation. The research elaborates on key applications, including portfolio optimization, fraud detection, and credit risk analysis, demonstrating how quantum-enhanced AI algorithms achieve superior performance in terms of accuracy, efficiency, and scalability compared to classical approaches. The study begins by elucidating the theoretical underpinnings of hybrid AI-quantum systems, detailing their algorithmic structures and computational advantages. Quantum-inspired AI techniques, such as quantum neural networks and quantum-enhanced support vector machines, are examined for their ability to process vast datasets with unparalleled speed and precision. Portfolio optimization is analyzed as a case study, showcasing how quantum algorithms excel in minimizing risk while maximizing returns within a multidimensional constraint environment. Similarly, advanced fraud detection systems are explored, where hybrid models significantly improve anomaly detection rates by incorporating quantum-enhanced pattern recognition. The paper also delves into credit risk analysis, emphasizing how AI-quantum solutions can predict default probabilities with unprecedented accuracy, thereby supporting financial institutions in managing systemic risks more effectively. Despite these advancements, the integration of AI and quantum computing into financial ecosystems poses substantial challenges. The research discusses issues such as algorithmic scalability, error mitigation in quantum computations, and the resource-intensive nature of quantum hardware. Furthermore, the implementation of these technologies within the existing fintech landscape is fraught with obstacles, including interoperability with classical systems, regulatory compliance, and the high costs associated with quantum infrastructure. Addressing these challenges requires a multidisciplinary approach, combining expertise in quantum mechanics, AI, and financial engineering to develop robust, scalable solutions. The paper also examines the broader implications of AI-quantum integration for enterprise decision systems. By enabling real-time analysis of volatile markets, these technologies empower organizations to make informed, data-driven decisions, thereby enhancing operational resilience and competitive advantage. Furthermore, the ethical considerations and regulatory frameworks governing the deployment of such advanced systems are critically analyzed, emphasizing the need for transparency, fairness, and accountability in algorithmic decision-making. The findings presented in this study underscore the transformative potential of AI-powered risk modeling in quantum finance. By bridging the gap between theoretical advancements and practical implementations, this research contributes to the growing body of knowledge on hybrid AI-quantum systems and their applications in the financial domain. Ultimately, the integration of AI and quantum computing represents a pivotal development in enterprise decision systems, offering unprecedented opportunities to address the complexities of financial risk management in an increasingly interconnected and uncertain world. (shrink)

A common kind of explanation in cognitive neuroscience might be called function-theoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes (in the system’s normal environment) the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it reveals (...) the causal structure of the mechanism underlying the capacity. If they are right, then a cognitive model that resists a transparent mapping to known neural mechanisms fails to be explanatory. I argue that a function-theoretic char-acterization of a cognitive capacity can be genuinely explanatory even absent an account of how the capacity is realized in neural hardware. (shrink)

El cuerpo como realidad radical en la actividad humana es una tesis común al pensamiento fenomenológico, desde su origen en la obra Edmund Husserl, en las de Maurice Merleau-Ponty y Michel Henry, hasta las corrientes postfenomenológicas, entre las que se encuentran Don Ihde y la escuela estadounidense. Como tesis complementaria, destacan la presencia del cuerpo en las tecnologías: su profunda interacción y su integración, generando una cierta extensión corporal que hace de usuario y dispositivo tecnológico un entorno de retroalimentación intencional (...) por el que fluye la materia de lo vivido. A través de la síntesis de técnicas anteriores, los medios digitales han profundizado en esta capacidad de integración: en incorporación y representación, en hardware y software, múltiples formas de extensión corporal son experimentables. De la construcción de estas corporalidades alternativas surge el relato de un cuerpo digital como ‘cuerpo real’, controlado por nosotros, plenamente equivalente y semejante. En el presente texto proponemos un breve análisis de la corporalidad digital basado en las reflexiones fenomenológicas, especialmente aquellas en torno a la autopercepción táctil, a modo de vía de fundamentación para un criterio de identidad corporal aplicable a dichas tecnologías y que reivindique la experiencia originaria y carnal del usuario. (shrink)

Este volumen contiene los trabajos presentados en el I Simposio de Pensamiento Contemporáneo, celebrado en la Universidad Técnica Particular de Loja (UTPL) durante los días 23 y 24 de enero de 2019 y cuyo tema central fue las «Nuevas Tecnologías en la Educación» (SPC–NTE). Este Simposio tuvo como objetivo fomentar la interacción entre personas de diferentes formaciones e intereses en la discusión de problemas y soluciones relevantes para la educación en la era digital, a fin de intercambiar ideas sobre prácticas (...) e investigaciones que busquen comprender, mejorar y ampliar el uso de las nuevas tecnologías en los procesos de enseñanza–aprendizaje en los más diferentes contextos de enseñanza. 28 trabajos analizan abordan temáticas de especial interés para los futuros docentes, así como para quienes ya se desempeñan como tales en los diversos niveles educativos. Estos textos son instantáneas breves, ágiles y claras de las contribuciones teóricas o de experiencias pedagógicas que tratan sobre ambientes, softwares y hardwares para apoyar la enseñanza y aprendizaje; TIC en la educación universitaria; técnicas y estrategias lúdicas en educación; experiencias pedagógicas con las TIC y humanidades digitales en la educación. (shrink)

P/A (Block's phenomenal/access) confounds a logical distinction with an empirical claim. Success of P/A in its logical role has almost no bearing on its plausibility as an empirical thesis (i.e., that two kinds of consciousness exist). The advantage of P/A over a single-consciousness assumption is unclear, but one of Block's analogies for P (liquid in a hydraulic computer) may be used to clarify the notion of consciousness as cognitive “hardware.”.

The advent of quantum supremacy, defined as the point at which quantum computers outperform classical systems in solving computational problems, represents a paradigm shift with profound implications for the field of cryptography, particularly in the context of secure financial transactions. Classical cryptographic techniques, such as public-key encryption systems that rely on the computational hardness of problems like integer factorization and discrete logarithms, are foundational to modern financial security architectures. However, the accelerated computational capabilities of quantum systems, driven by Shor’s and (...) Grover’s algorithms, render these traditional cryptographic methods vulnerable to compromise. This paper delves into the potential impact of quantum computing on cryptographic frameworks, emphasizing its disruptive influence on secure communication protocols, authentication systems, and transaction mechanisms within digital financial ecosystems. A comprehensive analysis of quantum-resistant cryptographic algorithms, collectively termed post-quantum cryptography (PQC), is presented as a critical countermeasure to these emerging threats. The paper explores lattice-based cryptography, hash-based signatures, code-based encryption, multivariate polynomial cryptography, and isogeny-based cryptographic schemes, evaluating their robustness against quantum adversaries. Through a rigorous examination of these algorithms’ theoretical foundations and practical implementations, the study identifies strengths, limitations, and potential deployment challenges. Special attention is devoted to the trade-offs between computational efficiency, security guarantees, and scalability, which are critical considerations for the widespread adoption of PQC in financial systems. Additionally, the study highlights the transitional challenges posed by integrating post-quantum cryptographic methods into existing infrastructures. Financial institutions, reliant on legacy systems and global interoperability standards, face significant hurdles in adopting quantum-resilient solutions. These include the need for standardized cryptographic protocols, cross-platform compatibility, and resistance to side-channel attacks. The research underscores the urgency of proactive measures to safeguard critical financial systems, including the development of hybrid cryptographic models that incorporate both classical and post-quantum techniques during the transition phase. Furthermore, the role of regulatory frameworks in mandating the adoption of quantum-safe protocols is examined, along with the potential for collaborative efforts among governments, financial institutions, and cryptographic researchers to ensure a coordinated response to the quantum threat landscape. The implications of quantum supremacy extend beyond technical considerations, affecting the trust and stability of global financial systems. This paper provides strategic recommendations for mitigating risks, including the prioritization of research into quantum-resistant algorithms, the establishment of testing environments for post-quantum solutions, and investment in the development of quantum-secure hardware. By leveraging these strategies, financial ecosystems can enhance their resilience against quantum-induced vulnerabilities. The discussion is substantiated with case studies and simulations that evaluate the performance of post-quantum algorithms in real-world financial contexts, illustrating their effectiveness in securing digital transactions against quantum attacks. By bridging the gap between theoretical advancements and practical implementations, this paper contributes to the ongoing discourse on the future of cryptography in the quantum era. Ultimately, the research aims to provide a comprehensive roadmap for securing digital financial ecosystems against the disruptive potential of quantum computing, ensuring the continued reliability and integrity of secure financial transactions in the face of emerging technological challenges. (shrink)

The study, design and development of a low-cost digital braille printer is boarded with a transdisciplinary approach. The main challenge was focused on reducing significantly the high cost of this type of printers and their printing services. This context is aggravated with the low commercialization of these products in the country, a factor that makes the access of these tools -that are essential to much of the low and middle sectors of the Argentine social structure- even more difficult. An interdisciplinary (...) group of teachers, graduates and students of the careers of industrial design and informatics degree from the National University of La Plata, developed the design and prototype of a braille printer. The work was carried out according to the principles of Gandhian Engineering, based on the reuse of ink-jet printers. The project consists of the design, development and generation of a low-cost Braille printer, produced locally, which prioritizes the use of nationally manufactured components for assembly. To achieve this, an electronic and electromechanical system was designed and manufactured to adapt any Inkjet printer to the objectives of the project, enabling the recycling of obsolete printers. This means, it is proposed to resolve through the use of text printers, applying technical knowledge of computer science and industrial design, to adapt the technological components to the Braille lexicon printer. They also developed, on the one hand, software that controls the printer and allows its use in a simple and accessible way. On the other hand, the hardware and external components were adapted with 3D printing technology and thermoforming, producing a housing that contains the entire printer. Finally, a systematization of the assembly process of the printer prototype was carried out, making it possible to replicate it. Using methodologies of Gandhian Design, a prototype and two alternative proposals of carcasses were obtained. The main objective, which guided this work, was that blind people can access low-cost braille printers promoting by this a favorable impact on the cultural development of their daily lives. (shrink)