Theory of cryptography | Chaos theory
In mathematics, a chaos machine is a class of algorithms constructed on the base of chaos theory (mainly deterministic chaos) to produce pseudo-random oracle. It represents the idea of creating a universal scheme with modular design and customizable parameters, which can be applied wherever randomness and sensitiveness is needed. Theoretical model was published in early 2015 by Maciej A. Czyzewski. It was designed specifically to combine the benefits of hash function and pseudo-random function. However, it can be used to implement many cryptographic primitives, including cryptographic hashes, message authentication codes and randomness extractors. (Wikipedia).
Visions of Chaos - Deep-Daze & other Machine Learning fun on MS Windows!
So you're using Microsoft Windows and prefer using a mouse to click on things using a GUI, but still want to play with all the machine learning toys? Well, you may be interested in Visions of Chaos! You'll get access to a wide variety of tools, including deep-daze, big-sleep, deep dream, G
From playlist Various AI Apps
Celestial Mechanics and a Geometry Based on Area - Helmut Hofer
Helmut Hofer Institute for Advanced Study March 10, 2010 The mathematical problems arising from modern celestial mechanics, which originated with Isaac Newton’s Principia in 1687, have led to many mathematical theories. Poincaré (1854-1912) discovered that a system of several celestial bo
From playlist Mathematics
Keras Tutorial For Beginners | Creating Deep Learning Models Using Keras In Python | Edureka
** AI & Deep Learning Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka Tutorial on "Keras Tutorial" (Deep Learning Blog Series: https://goo.gl/4zxMfU) provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case! W
From playlist Deep Learning With TensorFlow Videos
Foundation: Are We Predictable?
In which Jeff Goldblum, lemmings, and a pixelated photo of Obama help me uncover the mathematical reality of Isaac Asimov’s psychohistory. In his Foundation book series, Asimov invented psychohistory, a scientific description of history that can predict the future. This video asks whether
From playlist Video Essays
Order Within Chaos: How this game creates a fractal | Summer of Math Exposition #1
How does a seemingly random universe create something seemingly concrete and certain? In this video, we will unpack the reasoning behind this phenomena, while exploring the field of fractals. Chapters: 0:00 Introduction 0:25 The Chaos Game 1:44 Sierpinski's Triangle 3:14 Self-simil
From playlist Summer of Math Exposition Youtube Videos
Chance and Chaos: How to Predict the Unpredictable by Jens Marklof
KAAPI WITH KURIOSITY CHANCE AND CHAOS: HOW TO PREDICT THE UNPREDICTABLE SPEAKER : Jens Marklof (University of Bristol, UK) WHEN: 4:00 pm to 5:30 pm Sunday, 11 December 2022 WHERE : Jawaharlal Nehru Planetarium, Bengaluru Abstract: We live in a chaotic world: from w
From playlist Kaapi With Kuriosity (A Monthly Public Lecture Series)
But what is the Fourier Transform? A visual introduction.
An animated introduction to the Fourier Transform. Help fund future projects: https://www.patreon.com/3blue1brown An equally valuable form of support is to simply share some of the videos. Special thanks to these supporters: http://3b1b.co/fourier-thanks Learn more about Janestreet: https:
From playlist Data Science
ME564 Lecture 20: Chaos in ODEs (Lorenz and the double pendulum)
ME564 Lecture 20 Engineering Mathematics at the University of Washington Chaos in ODEs (Lorenz and the double pendulum) Course Website: http://faculty.washington.edu/sbrunton/me564/ http://faculty.washington.edu/sbrunton/
From playlist Engineering Mathematics (UW ME564 and ME565)
Machine learning analysis of chaos and vice versa - Edward Ott, University of Maryland
About the talk In this talk we first consider the situation where one is interested in gaining understanding of general dynamical properties of a chaotically time evolving system solely through access to time series measurements that depend on the evolving state of an, otherwise unknown,
From playlist Turing Seminars
GTAC 2014: I Don't Test Often ... But When I Do, I Test in Production
Gareth Bowles (Netflix) Every day, Netflix has more customers consuming more content on an increasing number of client devices. We're also constantly innovating to improve our customers' experience. Testing in such a rapidly changing environment is a huge challenge, and we've concluded th
From playlist GTAC 2014