Chelsea Finn on Meta Learning & Model Based Reinforcement LearningAn interview Stanford Professor Chelsea Finn, whose research deals with the capability of robots and other agents to develop broadly intelligent behavi…
Highlighting the best Gradient articles of the last several months that you should definitely check out
In which we discuss a hierarchical approach to summarizing long documents such as books and rising evidence that large language models such as GPT-3 ha…
Devi Parikh on Generative Art & AI for CreativityAn interview with Devi Parikh, a professor at Georgia Tech whose research focuses on CV, NLP, embodied AI, human-AI collaboration, and AI for creativity
In which we discuss a the first bias bounty competition by Twitter and a new hierarchical multi-layer perception architecture for computer vision.
There are immediate next steps that we can take to improve the environmental posture of the AI systems that we build.
Preview of The Imperative for Sustainable AI Systems for paying subscribers
Sergey Levine on Robot Learning & Offline RLAn interview with professor Sergey Levine, who researches Deep Reinforcement Learning with an emphasis on robotics, Offline Reinforcement Learning, and…
Gradient Community Discussion Thread #3 - a Gradient Subreddit?
Over a hundred researchers at Stanford think so. We are not so sure.
Jeremy Howard on Kaggle, Enlitic, and fast.aiAn interview with Jeremy Howard, a founding researcher at, an institute dedicated to making deep learning more accessible
In which we discuss a new proposal to tax “robot labor” and discuss the new report on "Foundation Models" such as GPT-3 from Stanford’s AI Lab.