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
This spring I am teaching a new class at MIT called **How to AI (Almost) Anything**
Its name is a play on 2 seminal @medialab courses: how to make almost anything (on design & fabrication) and how to grow almost anything (on synthetic biology)
We are now in the AI age, and today's AI can be... See more
A 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.
Cognitive Science needs an interdisciplinary approach – it needs to derive insights from psychology, neuroscience, philosophy, anthropology, computer science, linguistics, etc.