8:16ai safetyExplainer
Why Asimov's Laws of Robotics Don't Work - Computerphile
Computerphile
2 HN recommenders
8:16ai safetyExplainer
Computerphile
2 HN recommenders
2:59:08
8:34neural photorealism enhancementDemo
ISL and Collaborators
2 HN recommenders
1:05:18
4:17neural denoising for ray tracingExplainer
Two Minute Papers
2 HN recommenders
8:36ai video restorationDemo
Denis Shiryaev
2 HN recommenders
2:29:05ai-assisted programmingPodcast
Lex Fridman
2 HN recommenders
42:30ai risk and understandingInterview
CBS Mornings
3 HN recommenders
1:10:38philosophy of mindTalk
Talks at Google
2 HN recommenders
1:11:36capsule networksLecture
trwappers
2 HN recommenders
10:18backpropagationExplainer
3Blue1Brown
3 HN recommenders
16:04scientific computing in juliaTalk
The Julia Programming Language
2 HN recommenders
48:59
57:57computer vision deep learningLecture
Stanford University School of Engineering
2 HN recommenders
20:41
35:31autonomous driving perceptionTalk
Mobileye
1 HN recommender
1:19:08convolutional neural networksCourse
Andrej Karpathy
2 HN recommenders
1:02:06neocortex-inspired machine intelligenceTalk
Google TechTalks
1 HN recommender
55:02floating point nonlinearityExplainer
suckerpinch
1 HN recommender
3:54
1:18
4:32visual microphoneDemo
Abe Davis's Research
1 HN recommender
4:12causal inferenceExplainer
minutephysics
1 HN recommender
9:03ai-written screenplayDemo
Ars Technica
1 HN recommender
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