Jonathan defines what white noise actually is and how it's used to mask other annoying sounds. Learn more at HowStuffWorks.com: http://science.howstuffworks.com/question47.htm Share on Facebook: http://goo.gl/n7YNrZ Share on Twitter: http://goo.gl/Fq9InS Subscribe: http://goo.gl/ZYI7Gt V
From playlist Episodes hosted by Jonathan
I love digital radio, but sometimes their song descriptions aren't entirely accurate...
From playlist Random
Stuff They Don't Want You To Know - The Hum
In certain parts of the world, groups of people from all walks of life claim to hear a continuous hum. Yet not everyone can hear this noise, and there's no hard proof of its existence. Tune in and learn more about the mysterious hum in this episode. http://howstuffworks.com http://faceboo
From playlist Stuff They Don't Want You To Know
Yes. I make mistakes ... rarely. http://www.flippingphysics.com
From playlist Miscellaneous
In this video i demonstrate sound waves interference and standing waves from loudspeaker used sound sensor. The frequency on loudspeaker is about 5500Hz. Enjoy!!!
From playlist WAVES
Pseudorandom number generators | Computer Science | Khan Academy
Random vs. Pseudorandom Number Generators Watch the next lesson: https://www.khanacademy.org/computing/computer-science/cryptography/modern-crypt/v/the-fundamental-theorem-of-arithmetic-1?utm_source=YT&utm_medium=Desc&utm_campaign=computerscience Missed the previous lesson? https://www.k
From playlist Journey into cryptography | Computer Science | Khan Academy
Periodic Random Function Generation using Matplotlib and Python
In signal processing, for certain applications, periodic random signals might be needed. In this micro-tutorial we show how such a periodic random function can be generated. This is achieved by looping a 2d random noise onto itself to create a 1 dimensional random noise. The algorithm is i
From playlist Engineering Animations
Indistinguishability Obfuscation from Well-Founded Assumptions - Huijia (Rachel) Lin
Computer Science/Discrete Mathematics Seminar I Topic: Indistinguishability Obfuscation from Well-Founded Assumptions Speaker: Huijia (Rachel) Lin Affiliation: University of Washington Date: November 16, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
I.7 : What is OpenSimplex Noise?
Simplex Noise (2001) is an improvement on "classic" Perlin noise (1983). I discuss a bit of the history of noise algorithms and show how to use the Java source code for Open Simplex Noise in Processing. 🎥Next Video: Random Walker Coding Challenge: https://youtu.be/l__fEY1xanY Links discu
From playlist 13: What is Perlin Noise?
Multi-group fairness, loss minimization and indistinguishability - Parikshit Gopalan
Computer Science/Discrete Mathematics Seminar II Topic: Multi-group fairness, loss minimization and indistinguishability Speaker: Parikshit Gopalan Affiliation: VMware Research Date: April 12, 2022 Training a predictor to minimize a loss function fixed in advance is the dominant paradigm
From playlist Mathematics
Jonathan Katz - Introduction to Cryptography Part 1 of 3 - IPAM at UCLA
Recorded 25 July 2022. Jonathan Katz of the University of Maryland presents "Introduction to Cryptography I" at IPAM's Graduate Summer School Post-quantum and Quantum Cryptography. Abstract: This lecture will serve as a "crash course" in modern cryptography for those with no prior exposure
From playlist 2022 Graduate Summer School on Post-quantum and Quantum Cryptography
Programming Perlin-like Noise (C++)
NOTE! This is an approximation of Perlin Noise! :-S Noise is at the root of most procedurally generated content. However, just choosing random numbers alone is insufficient. Perlin noise adds local coherence over different scales to generate natural looking formations, which can be furthe
From playlist Interesting Programming
skip to 3:50 if you are impatient.
From playlist NightHawkInLight Community Video Responses!
Avi Wigderson: Randomness and pseudorandomness
Abstract: The talk is aimed at a general audience, and no particular background will be assumed. Is the universe inherently deterministic or probabilistic? Perhaps more importantly - can we tell the difference between the two? Humanity has pondered the meaning and utility of randomness fo
From playlist Abel Lectures
Chris Peikert - Post Quantum assumptions - IPAM at UCLA
Recorded 27 July 2022. Chris Peikert of the University of Michigan presents "Post Quantum assumptions" at IPAM's Graduate Summer School Post-quantum and Quantum Cryptography. Learn more online at: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-on-post-quantum-and-
From playlist 2022 Graduate Summer School on Post-quantum and Quantum Cryptography
What is Sound? - Quickly Discover What Sound Really Is
What is Sound? This simple demonstration visually shows how sound waves are produced from a vibrating surface. A frequency generator is hooked up to a power amplifier, and the resultant signal is used to drive a loudspeaker. The signal is also sent to an oscilloscope. After listen
From playlist Physics Demonstrations
Structure and randomness in the prime numbers - Terence Tao
Speaker : Terence Tao ( Department of Mathematics, UCLA ) Venue : AG 66, TIFR, Mumbai Date and Time : 23 Feb 12, 16:00 "God may not play dice with the universe, but something strange is going on with the prime numbers" - Paul Erdos The prime numbers are a fascinating blend of both struc
From playlist Public Lectures
Better Pseudorandom Generators from Milder Pseudorandom Restrictions - Parikshit Gopalan
Parikshit Gopalan Microsoft Research Silicon Valley, Mountain View, CA April 3, 2012 We present an iterative approach to constructing pseudorandom generators, based on the repeated application of mild pseudorandom restrictions. We use this template to construct pseudorandom generators for
From playlist Mathematics
A discrete signal has to be reconstructed to get back into the continuous domain.
From playlist Discrete
Workshop on Federated Learning & Analytics: Pre-recorded Talks Day 1 Track 2 Q&A Privacy/Security
A Google TechTalk, 2020/7/29, presented by all Day Track 2 speakers ABSTRACT: Google Workshop on Federated Learning and Analytics: Pre-recorded Talks Day 1 Track 2 Question and Answer session on Privacy/Security
From playlist 2020 Google Workshop on Federated Learning and Analytics