{"product_id":"feynman-lectures-on-computation","title":"Feynman Lectures On Computation","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\u003e \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\u003e \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","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57308342714750,"sku":"NW9780367857332","price":60.95,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9780367857332.jpg?v=1778578527","url":"https:\/\/mediaplace.com\/en-eu\/products\/feynman-lectures-on-computation","provider":"MediaPlace","version":"1.0","type":"link"}