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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues
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Feynman Lectures on Computation - Anniversary Edition (Paperback, 2nd edition)
Loot Price: R1,571
Discovery Miles 15 710
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Feynman Lectures on Computation - Anniversary Edition (Paperback, 2nd edition)
Series: Frontiers in Physics
Expected to ship within 9 - 15 working days
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The last lecture course that Nobel Prize winner Richard P. Feynman
gave at Caltech from 1983 to 1986 was not on physics but on
computer science. The first edition of the Feynman Lectures on
Computation published in 1996 and 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. For 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 towards 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." The final update for this edition capturea 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 in the
application of Artificial Intelligence and Machine Learning for
multi-scale science. He has contributed a chapter on "Feynman on
Artificial Intelligence and Machine Learning" that captures the
early discussions with Feynman and also looks towards future
developments. This exciting and important work provides key reading
for students and scholars in the fields of computer science and
computational physics.
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