{"title":"Series: Frontiers in Physics","description":"\u003cp\u003eThe \u003cem\u003eFrontiers in Physics\u003c\/em\u003e series invites readers to explore the cutting edge of scientific thought, blending rigorous research with accessible insight. This collection reveals the dynamic interface between physics and related disciplines, offering fresh perspectives that challenge conventional understanding and illuminate the complexities of the natural world.\u003c\/p\u003e\n\n\u003cp\u003eEngaging both scholars and curious minds alike, the series emphasises the evolving nature of knowledge and the philosophical questions underpinning modern physics. Expect a thoughtful journey through innovative ideas that resonate beyond the laboratory, connecting with broader themes in science and human inquiry.\u003c\/p\u003e","products":[{"product_id":"feynman-lectures-on-computation-9781032415888","title":"Feynman Lectures on Computation","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eThe last lecture course that Nobel Prize winner Richard P. Feynman gave to students at Caltech from 1983 to 1986 was not on physics but on computer science. The first edition of the \u003ci\u003eFeynman Lectures on Computation\u003c\/i\u003e, published in 1996, provided an overview of standard and not-so-standard topics in computer science given in Feynman’s inimitable style. Although now over 20 years old, most of the material is still relevant and interesting, and Feynman’s unique philosophy of learning and discovery shines through.\u003c\/p\u003e\n\n\u003cp\u003eFor this new edition, Tony Hey has updated the lectures with an invited chapter from Professor John Preskill on “Quantum Computing 40 Years Later”. This contribution captures the progress made toward building a quantum computer since Feynman’s original suggestions in 1981. The last 25 years have also seen the “Moore’s law” roadmap for the IT industry coming to an end. To reflect this transition, John Shalf, Senior Scientist at Lawrence Berkeley National Laboratory, has contributed a chapter on “The Future of Computing beyond Moore’s Law”.\u003c\/p\u003e\n\n\u003cp\u003eThe final update for this edition is an attempt to capture Feynman’s interest in artificial intelligence and artificial neural networks. Eric Mjolsness, now a Professor of Computer Science at the University of California Irvine, was a Teaching Assistant for Feynman’s original lecture course, and his research interests are now the application of artificial intelligence and machine learning for multi-scale science. He has contributed a chapter called “Feynman on Artificial Intelligence and Machine Learning” that captures the early discussions with Feynman and also looks toward future developments.\u003c\/p\u003e\n\n\u003cp\u003eThis exciting and important work provides key reading for students and scholars in the fields of computer science and computational physics.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47605710684396,"sku":"9781032415888","price":318.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781032415888-feynman-lectures-on-computation.jpg?v=1778139411"}],"url":"https:\/\/bookhero.co.nz\/collections\/series-frontiers-in-physics.oembed","provider":"Book Hero","version":"1.0","type":"link"}