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E-grāmata: Chua Lectures, The: From Memristors And Cellular Nonlinear Networks To The Edge Of Chaos - Volume Ii. Memristors And Cnn: The Right Stuff For Ai And Brain-like Computers

(Univ Of California, Berkeley, Usa)
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This 4-volume compendium contains the verbatim hard copies of all color slides from the Chua Lecture Series presented at HP in Palo Alto, during the period from September 22 to November 24, 2015. Each lecture consists of 90 minutes, divided into a formal lecture, a discussion session, and an Encore of special trivia that the audience found mesmerizing.These lectures share some unique features of the classic Feynman Lectures on Physics, as much of the materials are presented in the unique style of the author, and the content is original as discovered or invented by the author himself. Unlike most technical books that suffer a notoriously short life span as their features could be superseded by superior models, this series of Chua lectures are intended to never be obsolete many concepts and principles introduced are in fact new laws of nature, written in the language of sophomore-level mathematics, providing the foundation and the elan vital for initiating and nurturing future concepts and inventions.Volume I covers everything that a researcher may want to know about memristors but is too afraid to ask.Volume II shows that memristors can be either volatile or non-volatile, and effectively proving that synapses are non-volatile memristors, while action potentials are generated by locally-active memristors.Volume III presents an overview of the fascinating phenomenon called chaos, while immersing the audience with the sights and sound of chaos from the Chua Circuit, invented in 1984 by Leon Chua, and has now become the standard textbook example of chaos exhibited by a real nonlinear electronic circuit, and not by computer simulations.Volume IV surprises the audience with a new law of nature dubbed the local activity principle, as discovered and proved mathematically in 1996 by Leon Chua. In particular, a Corollary of Chua's local activity theorem, dubbed the edge of chaos, is shown via insightful examples to be the originator of most complex phenomena, including intelligence, creativity, and deep learning. The edge of chaos is Mother Nature's tool for overcoming the tyranny of the second law of thermodynamics by providing an escape hatch for entropy to decrease over time. Indeed, the local activity principle which is profusely illustrated in the final volume, is widely recognized as a new law of thermodynamics, and is identified as the sine qua non of all complex phenomena, including life itself.Exclusive Access to the accompanying Video and Audio materials comes with the purchase of this book.
About the Author vii
Inspirational Insights from Professor Leon Chua's Lecture xiii
Preface xv
Acknowledgments xvii
Volume I Memristors New Circuit Element with Memory
Lecture 1 Once over Lightly
1(68)
Slides 1-1--1-198
68(1)
Lecture 2 Everything You Wish to Know About Memristors but are Afraid to Ask
69(78)
Slides 2-1--2-225
145(2)
Lecture 3 10 Things You Didn't Know About Memristors
147(50)
Slides 3-1--3-144
196(1)
Volume II Memristors and CNN The Right Stuff for AI and Brain-Like Computers
Lecture 4 10 More Things You Didn't Know About Memristors
197(74)
Slides 4-1--4-213
269(2)
Lecture 5 Brain
271(78)
Slides 5-1--5-225
347(2)
Lecture 6 CNN Cellular Nonlinear Networks
349(74)
Slides 6-1--6-213
421(2)
Volume III Chaos Chua's Circuit and Complex Nonlinear Phenomena
Lecture 7 From Limulus to Sombrero
423(78)
Slides 7-1--7-228
500(1)
Lecture 8 Sights and Sounds of Chaos
501(72)
Slides 8-1--8-207
571(2)
Lecture 9 Everything You Wish to Know About Complexity
573(74)
Slides 9-1--9-213
645(2)
Volume IV Local Activity Principle Chua's Riddle, Turing Machine, and Universal Computing Rule 137
Lecture 10 Local Activity and Edge of Chaos
647(80)
Slides 10-1--10-234
726(1)
Lecture 11 Teaching Monkeys to Compute like a Turing Machine
727(104)
Slides 11-1--11-306
830(1)
Lecture 12 137 is a Magic Number
831
Slides 12-1--12-282
926