{"product_id":"feynman-lectures-on-computation-anniversary-edition-9780367857332","title":"Feynman Lectures on Computation: Anniversary Edition","description":"\u003cp\u003eThe last lecture course that Nobel Prize winner Richard P. Feynman gave\u003c\/p\u003e\u003cp\u003eto students at Caltech from 1983 to 1986 was not on physics but on computer\u003c\/p\u003e\u003cp\u003escience. The first edition of the \u003ci\u003eFeynman Lectures on Computation\u003c\/i\u003e, published\u003c\/p\u003e\u003cp\u003ein 1996, provided an overview of standard and not-so-standard topics in\u003c\/p\u003e\u003cp\u003ecomputer science given in Feynman's inimitable style. Although now\u003c\/p\u003e\u003cp\u003eover 20 years old, most of the material is still relevant and interesting, and\u003c\/p\u003e\u003cp\u003eFeynman's unique philosophy of learning and discovery shines through.\u003c\/p\u003e\u003cp\u003eFor this new edition, Tony Hey has updated the lectures with an invited\u003c\/p\u003e\u003cp\u003echapter from Professor John Preskill on \"Quantum Computing 40 Years\u003c\/p\u003e\u003cp\u003eLater\". This contribution captures the progress made toward building a\u003c\/p\u003e\u003cp\u003equantum computer since Feynman's original suggestions in 1981. The last\u003c\/p\u003e\u003cp\u003e25 years have also seen the \"Moore's law\" roadmap for the IT industry\u003c\/p\u003e\u003cp\u003ecoming to an end. To reflect this transition, John Shalf, Senior Scientist\u003c\/p\u003e\u003cp\u003eat Lawrence Berkeley National Laboratory, has contributed a chapter\u003c\/p\u003e\u003cp\u003eon \"The Future of Computing beyond Moore's Law\". The final update\u003c\/p\u003e\u003cp\u003efor this edition is an attempt to capture Feynman's interest in artificial\u003c\/p\u003e\u003cp\u003eintelligence and artificial neural networks. Eric Mjolsness, now a Professor\u003c\/p\u003e\u003cp\u003eof Computer Science at the University of California Irvine, was a Teaching\u003c\/p\u003e\u003cp\u003eAssistant for Feynman's original lecture course and his research interests\u003c\/p\u003e\u003cp\u003eare now the application of artificial intelligence and machine learning\u003c\/p\u003e\u003cp\u003efor multi-scale science. He has contributed a chapter called \"Feynman\u003c\/p\u003e\u003cp\u003eon Artificial Intelligence and Machine Learning\" that captures the early\u003c\/p\u003e\u003cp\u003ediscussions with Feynman and also looks toward future developments.\u003c\/p\u003e\u003cp\u003eThis exciting and important work provides key reading for students and\u003c\/p\u003e\u003cp\u003escholars in the fields of computer science and computational physics.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe late \u003cb\u003eRichard P. Feynman\u003c\/b\u003e was Richard Chace Tolman Professor of Theoretical Physics at the California Institute of Technology. He was awarded the Nobel Prize in 1965 for his work on the development of quantum electrodynamics, and made many other fundamental contributions to physics. What is less well-known is his contribution to computer science with his ideas about quantum computing. He was one of the most famous and beloved figures of the twentieth century, both in physics and in the public arena.\u003c\/p\u003e\u003cp\u003eTony Hey is Chief Data Scientist at the UK's Rutherford Appleton Laboratory at Harwell. After an academic career including Dean of Engineering at the University of Southampton in the UK, he became Director of the UK's pioneering eScience initiative. After 10 years as a Vice President in Microsoft Research in Redmond in the US, he returned to the UK and now leads a group applying Deep Learning neural networks to the analysis of experimental scientific data. He is also co-author of \u003ci\u003eThe Computing Universe: A Journey through a Revolution\u003c\/i\u003e, a popular introduction to the development of computer science.\u003c\/p\u003e\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":50930168922386,"sku":"9780367857332","price":73.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_9e085870-2130-49d3-bd61-7bfef547aa9c.jpg?v=1739066293","url":"https:\/\/surprise-castle.myshopify.com\/products\/feynman-lectures-on-computation-anniversary-edition-9780367857332","provider":"Surprise Castle","version":"1.0","type":"link"}