19:09perceptual colormapsTalk
A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt
Enthought
15 HN recommenders
19:09perceptual colormapsTalk
Enthought
15 HN recommenders
27:14transformer language modelsExplainer
3Blue1Brown
13 HN recommenders
3:31:24
3:00:18artificial consciousnessPodcast
Lex Fridman
6 HN recommenders
7:48
3:47
1:30:45automatic differentiationTalk
Microsoft Research
3 HN recommenders
2:17
5:07mars rover landingExplainer
VideoFromSpace
3 HN recommenders
39:33media for thinkingTalk
Colin McDonnell
4 HN recommenders
1:11:41natural language processingLecture
Stanford University School of Engineering
3 HN recommenders
6:31universe visualizationDemo
American Museum of Natural History
3 HN recommenders
2:29
29:43
2:52:56symbolic ai and cycPodcast
Lex Fridman
3 HN recommenders
4:10evolutionary simulationDemo
MediaArtTube
2 HN recommenders
14:25nuclear testing history
aConcernedHuman
2 HN recommenders
42:15
3:33:35existential riskPodcast
Eric Weinstein
2 HN recommenders
3:11deepfakesComedy
Ctrl Shift Face
2 HN recommenders
1:03:32rlhf for language modelsTalk
UC Berkeley EECS
2 HN recommenders
1:22:58gpt-4 red teamingInterview
Cognitive Revolution "How AI Changes Everything"
3 HN recommenders
8:093d mapping imageryExplainer
Nat and Friends
2 HN recommenders
16:04scientific computing in juliaTalk
The Julia Programming Language
2 HN recommenders
Machine learning involves both the models and the data and systems around them. This collection spans neural networks, language models, computer vision, data engineering and the broader consequences of AI. Students can begin with an introductory topic; practitioners can use the subject links to find a more specific technical discussion.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes