Saved by Juan Orbea
Course 6-9: Computation and Cognition | Brain and Cognitive Sciences
Teaching a new course @Stanford this quarter on explainable AI, motivated by neuroscience. I have curated a paper list 4 pages long (link in comment). What are your favorite papers on explainable AI/mechanistic interpretability that I am missing? Please comment or DM. thanks! https://t.co/BZtYdNw629
TinyML and Efficient Deep Learning Computing
MIT 6.5940 (https://t.co/9cZmEhXrrr)
“This course will introduce efficient AI computing techniques that enable powerful deep learning applications on resource-constrained devices. Topics include model compression, pruning, quantization, neural... See more
hardmarux.comA big part of our mission at Thinking Machines is to improve people’s scientific understanding of AI and work with the broader research community. Introducing Connectionism today to share some of our scientific insights.
Mira Muratix.com