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But what is the Fourier Transform?  A visual introduction.19:42

But what is the Fourier Transform? A visual introduction.

12.6M views • 8 years ago
3Blue1Brown
3Blue1Brown's animated visual introduction to the Fourier Transform, showing how a signal breaks into frequency components.
The more general uncertainty principle, regarding Fourier transforms18:07

The more general uncertainty principle, regarding Fourier transforms

2.3M views • 8 years ago
3Blue1Brown
3Blue1Brown shows how the uncertainty principle arises from Fourier transforms. A wave packet cannot be narrow in both position and frequency, so the principle is a property of waves rather than of measurement.
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.
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.
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
But what is a Fourier series?  From heat flow to drawing with circles | DE424:47

But what is a Fourier series? From heat flow to drawing with circles | DE4

19M views • 7 years ago
3Blue1Brown
3Blue1Brown introduces Fourier series, from the heat equation to drawing arbitrary shapes with rotating circles. It builds a visual intuition for decomposing functions into sine waves.
Epicycles, complex Fourier series and Homer Simpson's orbit25:35

Epicycles, complex Fourier series and Homer Simpson's orbit

421K views • 8 years ago
Mathologer
Mathologer explains epicycles and complex Fourier series, inspired by an animation of Homer Simpson drawn with epicycles. It covers the shape of the Moon's orbit around the Sun and how to make your own epicycle drawings.
Transformers, the tech behind LLMs | Deep Learning Chapter 527:14

Transformers, the tech behind LLMs | Deep Learning Chapter 5

11.6M views • 2 years ago
3Blue1Brown
3Blue1Brown's visual explanation of how transformers and GPT-style language models work, tracing data through tokens, embeddings and attention.
Attention in transformers, step-by-step | Deep Learning Chapter 626:10

Attention in transformers, step-by-step | Deep Learning Chapter 6

4.8M views • 2 years ago
3Blue1Brown
3Blue1Brown's visual walkthrough of the attention mechanism inside transformers, covering self-attention, multiple heads and cross-attention. It is chapter 6 of his deep learning series.
LSTM is dead. Long Live Transformers!28:48

LSTM is dead. Long Live Transformers!

540K views • 6 years ago
Seattle Applied Deep Learning
Leo Dirac explains how transformer models have replaced LSTMs in NLP. He gives background from bag of words through RNNs and LSTMs, then a technical deep dive into multi-headed self-attention and positional encoding, with sample code.
AI Language Models & Transformers - Computerphile20:39

AI Language Models & Transformers - Computerphile

354K views • 7 years ago
Computerphile
Rob Miles explains on Computerphile how language models generate plausible text and how transformers improved on recurrent networks, with a look at what comes next.
(1/4) Intro/History: Introducing a 100-year-old mechanical computer3:39

(1/4) Intro/History: Introducing a 100-year-old mechanical computer

476K views • 11 years ago
engineerguy
The first of four short videos from Bill Hammack (engineerguy) introducing and giving the history of a 100-year-old mechanical computer, Michelson's harmonic analyzer. The series goes on to explain Fourier synthesis, analysis and operation of the machine.
Topic match · Information theory & signal processing
JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile15:12

JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile

697K views • 11 years ago
Computerphile
Mike Pound explains the discrete cosine transform and how it underpins JPEG compression. It is part two of Computerphile's JPEG series.
CS480/680 Lecture 19: Attention and Transformer Networks1:22:38

CS480/680 Lecture 19: Attention and Transformer Networks

374K views • 7 years ago
Pascal Poupart
A university lecture from CS480/680 by Pascal Poupart on attention mechanisms and transformer networks, worked through on a chalkboard.
Ptolemy and Homer (Simpson)3:50

Ptolemy and Homer (Simpson)

380K views • 18 years ago
Santiago Ginnobili
A short animation reconstructing a planet's looping orbit using Ptolemy's epicycles and deferents, with the epicycles tracing out the face of Homer Simpson. It shows how enough circles can reproduce nearly any shape.
Topic match · Information theory & signal processing
Lego-style apartment transforms into infinite spaces9:38

Lego-style apartment transforms into infinite spaces

33M views • 15 years ago
Kirsten Dirksen
A tour of Christian Schallert's 24 square meter apartment in Barcelona, designed so that it looks like an empty cube until he builds the furniture he needs. Kirsten Dirksen shows how the space is transformed for cooking, sleeping and dressing.
Attention Is All You Need27:07

Attention Is All You Need

814K views • 8 years ago
Yannic Kilcher
Yannic Kilcher walks through the Attention Is All You Need paper, which introduced the Transformer, a sequence model based solely on attention without recurrence or convolutions. He reviews the architecture and the paper's translation results.
Extreme transformer home in Hong Kong: Gary Chang's 24 rooms in 110:17

Extreme transformer home in Hong Kong: Gary Chang's 24 rooms in 1

2M views • 13 years ago
Kirsten Dirksen
Kirsten Dirksen visits architect Gary Chang's 32 square meter Hong Kong apartment, which he has redesigned over decades. Sliding walls and transformable furniture turn it into 24 different room configurations.
Let's build GPT: from scratch, in code, spelled out.1:56:20

Let's build GPT: from scratch, in code, spelled out.

8.2M views • 3 years ago
Andrej Karpathy
Andrej Karpathy builds a GPT from scratch in code, following Attention Is All You Need and GPT-2/3, in about two hours using PyTorch. He connects it to ChatGPT and assumes familiarity with his earlier makemore videos.
Transforming Code into Beautiful, Idiomatic Python48:51

Transforming Code into Beautiful, Idiomatic Python

1.1M views • 13 years ago
Next Day Video
Raymond Hettinger's PyCon 2013 talk on transforming code into idiomatic Python through a series of before-and-after refactorings. It shows how to use iterators, dictionaries, named tuples and other language features well.
Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #3333:28:48

Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333

4M views • 4 years ago
Lex Fridman
Lex Fridman's long conversation with Andrej Karpathy on Tesla's self-driving approach, Optimus, neural networks, transformers, AGI and more. It also touches on his OpenAI work and working with Elon Musk.
What is Euler's formula actually saying? | Ep. 4 Lockdown live math51:16

What is Euler's formula actually saying? | Ep. 4 Lockdown live math

1.7M views • 6 years ago
3Blue1Brown
A 3Blue1Brown live lockdown math episode asking what Euler's formula e^(pi i) is actually saying. It builds intuition through exponentials, rotation and vectors landing on the unit circle.
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
Conflict Resolution for Eventual Consistency • Martin Kleppmann • GOTO 201651:36

Conflict Resolution for Eventual Consistency • Martin Kleppmann • GOTO 2016

46K views • 9 years ago
GOTO Conferences
Martin Kleppmann's GOTO Berlin 2016 talk on how collaborative editors, offline apps, and multi-datacenter databases handle concurrent updates. It covers conflict resolution approaches including operational transformation and CRDTs, with a worked look at text CRDTs.
The determinant | Chapter 6, Essence of linear algebra10:03

The determinant | Chapter 6, Essence of linear algebra

5M views • 10 years ago
3Blue1Brown
A 10-minute 3Blue1Brown chapter explaining the determinant as the factor by which a linear transformation scales area or volume. It builds the idea geometrically with animations before any formulas.
Dr. Bill Harris on the Omega-3 Index: Increasing Omega-3 to Promote Longevity & Transform Health1:50:18

Dr. Bill Harris on the Omega-3 Index: Increasing Omega-3 to Promote Longevity & Transform Health

540K views • 4 years ago
FoundMyFitness
Rhonda Patrick interviews Dr. Bill Harris, co-inventor of the Omega-3 Index and author of more than 300 papers on fatty acids. They cover EPA and DHA dosing, fish oil studies such as REDUCE-IT, and how omega-3 levels relate to health and longevity.
Blender Motion Tracking - Room Transformation!7:58

Blender Motion Tracking - Room Transformation!

2.2M views • 6 years ago
IanHubert
Ian Hubert shows how to use Blender's motion tracking to turn ordinary footage of a room into a stylized digital environment for an indie film. It is a quick, practical walkthrough in his loose, lazy-tutorial style.
Differential Synchronization54:44

Differential Synchronization

52K views • 17 years ago
Google TechTalks
Neil Fraser of Google presents Differential Synchronization, the algorithm behind MobWrite, for keeping multiple copies of a document in sync in real time. The talk argues the approach is robust, convergent and efficient.
Three Beautiful Quicksorts53:56

Three Beautiful Quicksorts

45K views • 19 years ago
Google TechTalks
Jon Bentley walks through three implementations of Hoare's Quicksort, from a dozen-line C function to a series of systematic code transformations that make the program ever simpler and more powerful. It is a Google Tech Talk on code elegance and program derivation.
The most deadly project on the Internet15:14

The most deadly project on the Internet

6.8M views • 4 years ago
bigclivedotcom
BigClive explains why microwave oven transformer projects are extremely dangerous, since the high voltage and high current can kill. He contrasts them with spot welder builds where the secondary is replaced by low-voltage heavy wire.
Inside China's 'thought transformation' camps - BBC News11:59

Inside China's 'thought transformation' camps - BBC News

3.7M views • 7 years ago
BBC News
A 2019 BBC News report by John Sudworth, who was given rare access to the secure facilities in Xinjiang where more than a million Muslims are thought to be held. Authorities call them training schools, and the report examines what the visit reveals about the system and conditions inside.
Jeff Dean & Noam Shazeer — 25 years at Google: from PageRank to AGI2:15:36

Jeff Dean & Noam Shazeer — 25 years at Google: from PageRank to AGI

349K views • 1 year ago
Dwarkesh Patel
Dwarkesh Patel interviews Google's Jeff Dean and Noam Shazeer about 25 years at the company, from PageRank and MapReduce to the Transformer, mixture of experts and Gemini. They also discuss where AI is heading.
Tesla AI Day 20213:03:20

Tesla AI Day 2021

2.6M views • 5 years ago
Tesla
Tesla's 2021 AI Day presentation covering vision, planning and control, auto-labeling, simulation, the Dojo training hardware and the Tesla Bot announcement, followed by a Q&A.
D/A and A/D | Digital Show and Tell (Monty Montgomery @ xiph.org)23:53

D/A and A/D | Digital Show and Tell (Monty Montgomery @ xiph.org)

647K views • 13 years ago
FL Studio
Monty Montgomery of Xiph.org gives real-time demonstrations of sampling, quantization, bit depth and dither using real audio equipment, including both digital analysis tools and vintage analog bench gear. It shows that sampled audio is not stair-stepped and corrects common misconceptions about digital audio.
Topic match · Information theory & signal processing
David Kriesel: Traue keinem Scan, den du nicht selbst gefälscht hast1:03:40

David Kriesel: Traue keinem Scan, den du nicht selbst gefälscht hast

7M views • 11 years ago
media.ccc.de
David Kriesel's 31C3 talk, in German, on the discovery that Xerox scanner-copiers silently replace digits and letters in scanned documents. He explains how the bug stayed unnoticed in the wild for years.
Topic match · Information theory & signal processing
Characters, Symbols and the Unicode Miracle - Computerphile9:37

Characters, Symbols and the Unicode Miracle - Computerphile

2.1M views • 13 years ago
Computerphile
Tom Scott explains for Computerphile how Unicode and UTF-8 grew out of messy older character encodings to become the web's standard. It covers why the design works and how it handles worldwide text.
Topic match · Information theory & signal processing
Dasher: information-efficient text entry53:46

Dasher: information-efficient text entry

7K views • 19 years ago
Google TechTalks
David MacKay's 2007 Google Tech Talk presents Dasher, a text-entry system driven by continuous gestures and a language model, reaching about 35 words per minute with one finger and 25 hands-free. It explains the information-theory reasoning behind the design.
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 Superheterodyne Radio: No really, that's its name12:31

The Superheterodyne Radio: No really, that's its name

987K views • 7 years ago
Technology Connections
Technology Connections explains why the superheterodyne radio has its name and how mixing frequencies lets it tune stations well. It walks through the underlying wave phenomena and algebra and why the design solved a hard tuning problem.
Topic match · Information theory & signal processing
Why Snow and Confetti Ruin YouTube Video Quality4:20

Why Snow and Confetti Ruin YouTube Video Quality

10.4M views • 10 years ago
Tom Scott
Tom Scott explains why confetti and snow wreck video quality, using interframe compression and bitrate. He demonstrates it live by changing the quality on screen.
Topic match · Information theory & signal processing