24:13silly machine learning researchComedy
Uppestcase and Lowestcase Letters [advances in derp learning]
suckerpinch
5 HN recommenders
24:13silly machine learning researchComedy
suckerpinch
5 HN recommenders
1:30:45automatic differentiationTalk
Microsoft Research
3 HN recommenders
23:20rigor in machine learningTalk
ObservantVids
3 HN recommenders
3:28:48self-driving and ai researchPodcast
Lex Fridman
3 HN recommenders
35:45ai accelerator chipsTalk
The Research and Applied AI Summit - RAAIS
3 HN recommenders
25:59
8:34neural photorealism enhancementDemo
ISL and Collaborators
2 HN recommenders
59:23limits of llmsPodcast
Alex Kantrowitz
2 HN recommenders
14:06
9:05speech translationDemo
Microsoft Research
1 HN recommender
11:47
1:26
4:09
6:36facial reenactmentDemo
Matthias Niessner
Discussed on HN
3:32robot learning from demonstrationDemo
Toyota Research Institute
Discussed on HN
22:51machine learning rigorTalk
Preserve Knowledge
Discussed on HN
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.
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