Random Oracle - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Randomness - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Randomness Quiz - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Random Oracle Solution - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Questions And Answers - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Randomness Extraction: A Survey - David Zuckerman
David Zuckerman University of Texas at Austin; Institute for Advanced Study February 7, 2012 A randomness extractor is an efficient algorithm which extracts high-quality randomness from a low-quality random source. Randomness extractors have important applications in a wide variety of area
From playlist Mathematics
Randomness Solution - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Dynamic Random Access Memory (DRAM). Part 4: Multiplexers and Demultiplexers
This is the fourth in a series of computer science videos is about the fundamental principles of Dynamic Random Access Memory, DRAM, and the essential concepts of DRAM operation. This video covers multiplexers and demultiplexers. It describes what these electronic circuits do and some of
From playlist Random Access Memory
Lecture 12A : The Boltzmann Machine learning algorithm
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 12A : The Boltzmann Machine learning algorithm
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
MIT 18.404J Theory of Computation, Fall 2020 Instructor: Michael Sipser View the complete course: https://ocw.mit.edu/18-404JF20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY Quickly reviewed last lecture. Gave an introduction to complexity the
From playlist MIT 18.404J Theory of Computation, Fall 2020
George Dyson keynote Strata Conference London 2012 "The First 5 Kilobytes are the Hardest"
http://strataconf.com/strataeu/public/schedule/detail/26588 Evolution in the digital universe has been driven, since the beginning, partly by improvements in code and partly by improvements in machines. Alan Turing's one-dimensional model of universal computation of 1936 led directly to Jo
From playlist Strata in London 2012
Cryptography - Seminar 3 - Protocols
This seminar series is about the mathematical foundations of cryptography. In this seminar Eleanor McMurtry gives the formal definitions of machines, protocols, execution and UC-emulation in the context of universal composability, the foundations of cryptography that are being presented in
From playlist Metauni
22C3: On working memory and mental imagery
Speaker: Victor Eliashberg How does the brain learn to think? A representation of an untrained human brain, call it B(0), is encoded in the human genome -- its size can hardly exceed a few megabytes. In contrast, a representation of a trained brain, B(t), after big enough time t (say t=2
From playlist 22C3: Private Investigations
Zero Knowledge Proofs - Seminar 1 - Introduction
This seminar series is about the mathematical foundations of cryptography. In this series Eleanor McMurtry is explaining Zero Knowledge Proofs (ZKPs), a fascinating set of techniques that allow one participant to prove they know something *without revealing the thing*. You can join this s
From playlist Metauni
Computation Ep34, Uncomputable numbers (Apr 29, 2022)
This is a recording of a live class for Math 3342, Theory of Computation, an undergraduate course for math and computer science majors at Fairfield University, Spring 2022. The course is about finite automata, Turing machines, and related topics. Homework and handouts at the class websi
From playlist Math 3342 (Theory of Computation) Spring 2022
Decidability/Complexity Relationship, Recursion Theorem
Theory of Computation 17. Decidability/Complexity Relationship, Recursion Theorem ADUni
From playlist [Shai Simonson]Theory of Computation
Nexus Trimester - Paul Beame (University of Washington) - 1
Branching Programs 1/3 Paul Beame (University of Washington) February 26,2016 Abstract: Branching programs are clean and simple non-uniform models of computation that capture both time and space simultaneously. We present the best methods known for obtaining lower bounds on the size of (l
From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme
Theory of Computation 11. The Bullseye ADUni
From playlist [Shai Simonson]Theory of Computation
What We've Learned from NKS Chapter 11: The Notion of Computation
In this episode of "What We've Learned from NKS", Stephen Wolfram is counting down to the 20th anniversary of A New Kind of Science with [another] chapter retrospective. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or th
From playlist Science and Research Livestreams
PMSP - Computational pseudo-randomness and extractors I - Russell Impagliazzo
Russell Impagliazzo UC San Diego and Institute for Advanced Study June 14, 2010 For more videos, visit http://video.ias.edu
From playlist Mathematics