Search Results for author:
Found 3 papers, 1 papers with code
Empowering Biomedical Discovery with AI Agents
We envision 'AI scientists' as systems capable of skeptical learning and reasoning that empower biomedical research through collaborative agents that integrate machine learning tools with experimental platforms.
Lyfe Agents: Generative agents for low-cost real-time social interactions
Meanwhile, our techniques enabled Lyfe Agents to operate at a computational cost 10-100 times lower than existing alternatives.
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Humans can quickly adapt to new partners in collaborative tasks (e. g. playing basketball), because they understand which fundamental skills of the task (e. g. how to dribble, how to shoot) carry over across new partners.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
