The theme of essential futility, absurdity, utter incomprehensibility of life and death is stressed in almost allthe writings of Albert Camus. Like Buddha he was shocked by the sight of human misery and mortality. Yet, paradoxically was attracted to the essential desirability of it. Although completely ruffled by the consciousness of an ambiguous and silent God, he was not unaware of “that strange joy that comes from a tranquil conscience”, a perfect inner harmony one experiences on attaining true knowledge. Upanishads (...) are a search for this very reality underlying the flux of things. Malraux, Sartre, and others had already developed this line of thought before Camus. What is essential and original in him is, firstly, that the world’s absurdity not a cause for despair, but on the contrary, a spur to happiness. And secondly, that , mortality and suffering actually enhance the value of life: they invite men to live more intensely. In addition to absurdity another subject the Upanishads insistently deal with is ethics, the purity of human conduct. Very much in the manner of the Existentialists, the Upanishads, aeons before, hold man himself responsible for his actions. Dr. Radhakrishnan, very aptly says that Existentialism is a new name for an ancient method. In Albert Camus and India Sharad Chandra has put forward a convincing comparative study of the two philosophies as expounded in their respective literatures. Her argument is that the parallel ideas found in the two views are not mere fortuitous conclusions but, either the result of seminal influence, or emanation of a common, deeper vision. Reading of the book will help the reader to form a firm opinion. Camus had read the Gita and had attended the lectures given by Swami Shraddhananda of the Ramakrishna Mission in Paris. (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)