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An Observation on Generalization57:21

An Observation on Generalization

210K views • 3 years ago
Simons Institute for the Theory of Computing
Ilya Sutskever gives a Simons Institute talk on why neural networks generalize, framing learning as finding short descriptions, like compression. It was part of the Large Language Models and Transformers program.
Topic match · Information theory & signal processing
Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI | Lex Fridman Podcast #751:39:56

Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI | Lex Fridman Podcast #75

126K views • 6 years ago
Lex Fridman
Lex Fridman interviews Marcus Hutter of DeepMind about universal artificial intelligence, AIXI, Kolmogorov complexity, Solomonoff induction and the idea of intelligence as compression.
Topic match · Information theory & signal processing
Progressive decoding: JPEG vs JPEG XL vs AVIF0:40

Progressive decoding: JPEG vs JPEG XL vs AVIF

21K views • 5 years ago
Jon Sneyers
A short side-by-side demo of a large image loading over a slow connection in JPEG, progressive mozjpeg, JPEG XL and AVIF. It shows how each codec renders partial data.
Topic match · Information theory & signal processing
The Fast Fourier Transform (FFT): Most Ingenious Algorithm Ever?28:23

The Fast Fourier Transform (FFT): Most Ingenious Algorithm Ever?

2.3M views • 5 years ago
Reducible
Reducible's visual walkthrough of the Fast Fourier Transform, motivated by polynomial multiplication. It shows how the FFT's key ideas can be discovered by asking the right questions.
Topic match · Information theory & signal processing
Fourier Optics used for Optical Pattern Recognition18:31

Fourier Optics used for Optical Pattern Recognition

103K views • 6 years ago
Huygens Optics
Huygens Optics explains the Fourier transform and shows how a lens performs one optically. A DLP projector is used as a Fourier filter to do simple pattern recognition on lithographic character patterns.
Topic match · Information theory & signal processing
But what are Hamming codes? The origin of error correction20:05

But what are Hamming codes? The origin of error correction

3.1M views • 6 years ago
3Blue1Brown
3Blue1Brown's discovery-oriented introduction to error correction codes, building up Hamming codes from the puzzle of locating a flipped bit. It explains the parity-check idea and why it is so efficient.
Topic match · Information theory & signal processing
The Most Underrated Algorithm26:33

The Most Underrated Algorithm

10.8M views • 4 years ago
Veritasium
Veritasium tells the story of the Fast Fourier Transform, from its use in detecting nuclear tests to Cold War politics, and how it could have changed the arms race. It includes a short, intuitive explanation of what the Fourier transform does.
Topic match · Information theory & signal processing
Solving Wordle using information theory30:38

Solving Wordle using information theory

11.8M views • 4 years ago
3Blue1Brown
3Blue1Brown uses Wordle as an excuse to teach information theory and entropy, building a solver that picks guesses by expected information and incorporating word frequencies.
Topic match · Information theory & signal processing
Samplerates: The Higher the Better, Right?29:22

Samplerates: The Higher the Better, Right?

571K views • 6 years ago
FabFilter
Dan Worrall explains when higher sample rates help in recording and mixing, and when they do not. He goes into oversampling versus higher sample rates, and aliasing in distortion plugins.
Topic match · Information theory & signal processing
Is Starlink A Secret Radar Constellation?1:44:34

Is Starlink A Secret Radar Constellation?

498K views • 6 months ago
Noise In Space
A 105-minute technical deep dive from Noise In Space evaluating whether Starlink satellites could work as synthetic aperture radar. It covers SAR signal-to-noise, amplifiers, antennas, duplexing, phased array beamforming and simulations of V2 Mini and V3 satellites.
Topic match · Information theory & signal processing
I published music on Tidal to test MQA - MQA Review38:01

I published music on Tidal to test MQA - MQA Review

610K views • 5 years ago
GoldenSound
GoldenSound publishes music on Tidal to test MQA, a deep dive into the format's claims and problems including its leaky filter. Testing begins around the 5:45 mark.
Topic match · Information theory & signal processing
I built a QR code with my bare hands to see how it works35:13

I built a QR code with my bare hands to see how it works

9.7M views • 2 years ago
Veritasium
Veritasium builds a QR code by hand to explain how it works. It covers the history of Morse code and barcodes, how QR codes encode data, why damaged codes still scan, and how safe they are.
Topic match · Information theory & signal processing
A Deep Dive into Nanite Virtualized Geometry1:10:00

A Deep Dive into Nanite Virtualized Geometry

278K views • 5 years ago
SIGGRAPH Advances in Real-Time Rendering
Brian Karis's SIGGRAPH 2021 talk explains how Unreal Engine 5's Nanite virtualized geometry works. It covers mesh import, the data structures, streaming, decompression, culling, software and hardware rasterization, and shading.
How Crash Bandicoot Hacked The Original Playstation | War Stories | Ars Technica31:37

How Crash Bandicoot Hacked The Original Playstation | War Stories | Ars Technica

5.2M views • 6 years ago
Ars Technica
In Ars Technica's War Stories, Naughty Dog co-founder Andy Gavin explains how the team squeezed Crash Bandicoot onto the original PlayStation. They overwrote Sony library code in RAM, built custom animation compression, and streamed assets around slow seek times.
How Does SHA-256 Work?22:59

How Does SHA-256 Work?

374K views • 6 years ago
learnmeabitcoin
A step-by-step animated explanation of how SHA-256 works, from padding and message schedule to the compression function and final hash, with source code for the animations.
Using AI To Detect AI Music (and other music industry data-porn)19:42

Using AI To Detect AI Music (and other music industry data-porn)

452K views • 1 year ago
Benn Jordan
Musician Benn Jordan uses AI to detect AI-generated music and digs into music industry data, including streaming payouts and sample library copyright problems. He covers ways to tell whether a track is human-made.