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Stanford researchers have created AI agents from scientific papers that can autonomously reproduce experiments and communicate with each other, leading to the discovery of a new genetic connection to ADHD risk.
Stanford University announced a new deep learning course, CS312, with a unique grading system emphasizing quizzes and practical experiments over assignments.
Stanford course 'The Modern Software Developer' starts next Tuesday, with a GitHub repository providing assignments for the course.
Stanford has released a free 67-minute course on building AI agents from scratch, covering both coding and no-code methods.
Stanford Professor Chris Manning warns that frontier AI development is concentrated in a few secretive institutions, limiting public information and potentially hindering societal acceptance of AI.
A tweet from @RyanNeverWrong states that a recent development is a game changer for Stanford University.
Stanford AI Lab announces the public release of recordings and materials for CS 312: Deep Learning Alchemy course, including assignments and quizzes on deep learning concepts like transformer components.
Stanford lanzó una clase gratuita que explica cómo funcionan Claude y ChatGPT en 1 hora y 50 minutos.
Samuel King, a Stanford PhD student, is honored as an MIT Technology Review Innovator Under 35 for his work using the AI model Evo to design functional bacteriophages, advancing AI applications in biological design.
Stanford professor Chris Piech announces a free 'Probability for AI' course with a volunteer teaching model, aiming for a 1:10 teacher-student ratio and open applications for learners and teachers.
Stanford University has launched a complete free course on self-improving AI agents, providing accessible educational resources for AI advancements.
A research paper titled 'Long Gaps' by Professor Jared Duker Lichtman of Stanford is hosted on OpenAI's platform, suggesting a focus on mathematical aspects in AI research.
Terminal-Bench-Science is a new benchmark released as version 0.1.0 for evaluating AI agents on scientific research workflows, led by a Stanford community effort.
The article discusses the impact of Stephen Boyd's 2006 mathematics textbook on convex optimization, used by Google, Renaissance Technologies, and others, and promotes his free Stanford course EE364A available on YouTube.
A 17-year-old launched an AI agent farm for Anthropic, making his first million, and shared his methods at Stanford on building AI-driven businesses efficiently.
Shares Stanford's 'Deep Generative Models' lecture videos and course website for educational access to AI learning materials.
A tweet shares a 17-page PDF from Stanford University that explains Hidden Markov Models, a foundational concept in machine learning and speech processing.
At AASF 2026, Cui Yi presented his battery energy density roadmap, with targets rising from 250 Wh/kg to 1000 Wh/kg, calling it his 'retirement plan.' Progress is currently past halfway.
After leaving Google, Jeff Dean appeared at Stanford AASF 2026 to give a talk, sharing his method for distinguishing foundational technology from trendy tech. The original tweet shows the old laptop covered in stickers that he returned upon departure.
Stanford University has released the full recordings of the graduate course CS329A: Self-Improving AI Agents on YouTube, with 9 lectures covering topics such as test-time compute, verifiers, reinforcement learning, tool feedback, and multi-step reasoning, systematically organizing the direction of agent self-improvement.