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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.
The Universe is Hostile to Computers23:03

The Universe is Hostile to Computers

26.5M views • 5 years ago
Veritasium
Veritasium explains how cosmic rays and other particles flip bits in computer memory, with examples including a Belgian election count error, plane incidents and game glitches. It is inspired by a RadioLab episode on bit flips.
7 Minutes of Terror: Curiosity Rover's Risky Mars Landing | Video5:07

7 Minutes of Terror: Curiosity Rover's Risky Mars Landing | Video

1.2M views • 14 years ago
VideoFromSpace
NASA's animated explanation of the Curiosity rover's Mars landing, which relied on a complex automated sequence taking about seven minutes. It features NASA engineers discussing the risks before the 2012 landing.
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.
Boeing 737 Stall Escape manoeuvre, why MAX needs MCAS!!20:22

Boeing 737 Stall Escape manoeuvre, why MAX needs MCAS!!

1.2M views • 7 years ago
Mentour Pilot
Mentour Pilot, a 737 instructor, explains the approach-to-stall and escape manoeuvre and why the 737 MAX needs MCAS while the 737NG did not. He covers the jackscrew and pitch behavior in terms a general viewer can follow.
Computer Color is Broken4:14

Computer Color is Broken

4.3M views • 11 years ago
minutephysics
MinutePhysics explains that computers store brightness nonlinearly, so blurring and blending colors in raw RGB gives wrong, dark results. It shows why mixed colors, such as in gradients, look off.
Gradient descent, how neural networks learn | Deep Learning Chapter 220:33

Gradient descent, how neural networks learn | Deep Learning Chapter 2

9.7M views • 9 years ago
3Blue1Brown
3Blue1Brown's second neural network chapter explains cost functions and gradient descent, showing how a network learns by minimizing error during training.
Tiny meteorites are everywhere. Here’s how to find them.10:26

Tiny meteorites are everywhere. Here’s how to find them.

1.2M views • 7 years ago
Verge Science
Verge Science's pilot of its Trial & Error series follows amateur scientist Jon Larsen on a hunt for micrometeorites. It shows how tiny space rocks can be found on rooftops and confirmed under a microscope.
CBTC: Communications-Based Train Control9:26

CBTC: Communications-Based Train Control

767K views • 11 years ago
mtainfo
An MTA video on communications-based train control, the system meant to replace the New York City subway's century-old signaling. It also shows the mechanical interlocks and signals in use today.
Power is not energy: why the difference matters52:22

Power is not energy: why the difference matters

2.3M views • 1 year ago
Technology Connections
Technology Connections explains the difference between power (watts) and energy (watt-hours) and why confusing them leads to errors. It runs about 52 minutes and uses everyday examples.
Floating Point Numbers - Computerphile9:16

Floating Point Numbers - Computerphile

2.5M views • 12 years ago
Computerphile
Tom Scott explains for Computerphile how floating point numbers work, why moving the binary point is fast, and why it handles money badly.
Why does PUNCHING Sonic 3D trigger a Secret Level Select?3:05

Why does PUNCHING Sonic 3D trigger a Secret Level Select?

510K views • 6 years ago
Coding Secrets
A short Coding Secrets episode explaining why hitting a Sonic 3D cartridge triggers a hidden level select. The cause was a custom crash handler that redirected CPU error interrupts to the level select screen.
Why do people keep getting this wrong‽12:49

Why do people keep getting this wrong‽

2M views • 6 years ago
Stand-up Maths
Matt Parker of Stand-up Maths explains why people keep making the same mistake with millions and billions, using a Bloomberg cash calculator example. He looks at the unit slip behind the repeated arithmetic error.
GradIEEEnt half decent: The hidden power of imprecise lines55:02

GradIEEEnt half decent: The hidden power of imprecise lines

391K views • 3 years ago
suckerpinch
Tom 7 (suckerpinch) delivers a long, comedic digression on gradient descent and floating-point imprecision. He shows how rounding behavior can supply the nonlinearity needed to build a neural network.