From 1983 to 1986, the legendary physicist and teacher Richard Feynman gave a course at Caltech called “Potentialities and Limitations of Computing Machines.”Although the lectures are over ten years old, most of the material is timeless and presents a “Feynmanesque” overview of many standard and some not-so-standard topics in computer science. These include computability, Turing machines (or as Feynman said, “Mr. Turing's machines”), information theory, Shannon's Theorem, reversible computation, the thermodynamics of computation, the quantum limits to computation, and the physics of VLSI devices. Taken together, these lectures represent a unique exploration of the fundamental limitations of digital computers.Feynman's philosophy of learning and discovery comes through strongly in these lectures. He constantly points out the benefits of playing around with concepts and working out solutions to problems on your own-before looking at the back of the book for the answers. As Feynman says in the lectures: “If you keep proving stuff that others have done, getting confidence, increasing complexities of your solutions-for the fun of it-then one day you'll turn around and discovers that nobody actually did that one! And that's the way to become a computer scientist.”
When, in 1984?86, Richard P. Feynman gave his famous course on computation at the California Institute of Technology, he asked Tony Hey to adapt his lecture notes into a book.
" The final update for this edition is an attempt to capture Feynman's interest in Artificial Intelligence and Artificial Neural Networks.
This book is a collection of lecture notes from the Symposium on Quantum Computing, Thermodynamics, and Statistical Physics, held at Kinki University in March 2012.
The final update for this edition is an attempt to capture Feynman’s interest in artificial intelligence and artificial neural networks.
How do we design computing education that works for everyone? This book proposes use of a learner-centered design approach to create computing education for a broad audience.
Quantum computation, one of the latest joint ventures between physics and the theory of computation, is a scientific field whose main goals include the development of hardware and algorithms based on the quantum mechanical properties of ...
In that case, the only way they'll lose is if both of the coins land heads. Exercise: Prove that this is optimal. In other words, any strategy of Alice and Bob will win at most 75% of the time. Now for the punchline: suppose that Alice ...
The first edition of this book published in 1996 and provided an overview of standard and not-so-standard topics in computer science given in Richard P. Feynman's inimitable style.
This book is aimed at achieving four goals: (1) defining human computation as a research area; (2) providing a comprehensive review of existing work; (3) drawing connections to a wide variety of disciplines, including AI, Machine Learning, ...
This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing.