Groups & Organizations
- BAIR Blog - Berkeley Artificial Intelligence Research
- Stanford AI Lab Blog - Stanford Artificial Intelligence Laboratory
- ML@CMU - Carnegie Mellon University machine learning blog
- Off the Convex Path - group blog on the theory of optimization and machine learning
- The Gradient - digital publication on AI research and its implications
- OpenAI - research and announcements from OpenAI
- Google Research - research blog from Google (formerly the Google AI Blog)
- Meta AI - research blog from Meta AI (formerly Facebook AI)
People
- Ben Recht — arg min - optimization, control, and the foundations of machine learning
- Stephen Tu - learning, control, and statistics
- Andrej Karpathy - deep learning and neural networks
- Steven Brunton - video lectures on dynamics, control, and data-driven science
- Wouter Jongeneel - systems, control, and optimization
- Akshay Agrawal — Debug Mind - optimization and machine learning
- Lilian Weng — Lil’Log - in-depth surveys of deep learning and reinforcement learning topics
- Terence Tao - mathematics, from a Fields Medalist
General
- How to Do Great Research - grad-school survival and research-skills advice from Nick Feamster and Alex Gray