#Stanford University
10 articles with this tag
AI Agents Discover New Science in "Einstein Arena"
James Zou of Together AI discusses how designing environments, rather than workflows, for AI agents can unlock creativity and lead to scientific breakthroughs, showcasing projects like the Einstein Arena and DSGym.
AI Agents Tested in Live Reasoning Competition
The Grounded Reasoning Cup revealed AI agents' struggle with generalization on complex enterprise documents, with Stanford winning by optimizing system design.
Chelsea Finn: The State of Physical Intelligence in Robotics
Chelsea Finn discusses the state of physical intelligence in robotics, focusing on achieving long-term autonomy and generality in robot models.
Anthropic Taps Ex-Judge for Global AI Policy
AI safety firm Anthropic appoints former California Supreme Court Justice Mariano-Florentino Cuéllar as its first Chief Global Affairs Officer.
AI Kernel Optimization & Local AI Efficiency
Experts discuss multi-GPU kernel optimization, the rise of 'Intelligence per Watt', and the growing viability of local AI.
Stanford's AI Pipeline Under Scrutiny
Theo Baker, author of "How to Rule the World," discusses Stanford's culture, Silicon Valley ties, and the impact of AI on ambition and integrity.
New Tracker Shows AI's Real-Time Impact on Jobs
ADP and Stanford Digital Economy Lab launch 'The Canaries Dashboard' to track AI's real-time impact on jobs, revealing differential effects on workers by age and role.
Jure Leskovec on Relational Foundation Models
Jure Leskovec, AI researcher and Stanford professor, discusses Relational Foundation Models, a new AI approach for understanding complex enterprise data and its applications.
Meta-Harness: AI Optimizes AI Development
Researchers unveil Meta-Harness, a novel AI system that automates harness optimization, leading to faster and more capable LLMs.
Stefano Ermon on Diffusion Models for Text
Stefano Ermon discusses the potential of diffusion models for text generation, highlighting their advantages in controllability and efficiency over traditional autoregressive models.