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A workflow for learning robotics using free Stanford lectures online, emphasizing hands-on coding practice and self-directed learning to build a career without paying tuition.
Nature published a paper detailing Paper2Agent, a virtual corresponding author developed by Stanford's James Zou group, which enables users to interact with and execute methods from research papers through AI.
Stanford University's CS329Z course on Engineering AI Agents has started, with lecture slides now public, covering topics from models to autonomous systems and featuring instructors like Diyi Yang and Michael Ryan.
Stanford's CS146S course 'Modern Software Developer' teaches coding agents and AI-assisted development, with public assignments on GitHub covering topics like prompt engineering and automated workflows.
Stanford University used AI to alter photos of students for a 'Welcome Home' banner, leading to changes in identities and sparking discussions about AI ethics.
Scientists at Stanford University have created mice with human brain cells to develop a new model for studying human-specific brain disorders like epilepsy, autism, and cerebral palsy, aiming to advance treatment development.
斯坦福大学免费提供CME 295课程，涵盖从Transformer基础到LLM训练与应用的完整知识体系，适合生成式AI和智能体AI的学习者。
Douglas Hofstadter delivers a lecture at Stanford arguing that analogy is the core mechanism of cognition, essential for classification and understanding by perceiving common essences between ideas and objects.
Terminal-Bench-Science is a benchmark developed by Stanford University researchers to evaluate AI agents on real scientific research workflows, aiming to drive AI capabilities in science.
Stanford University has made the CS329A lectures on Self-Improving AI Agents available for free on YouTube, covering topics like AI agents, Constitutional AI, and multi-step reasoning.
Google Distinguished Engineer Jeff Dean engaged in a fireside chat with Don Mengdong at Stanford University, reviewing the AI evolution from MapReduce to Gemini and sharing insights on model scaling and multimodal AI.
A 69-page book on algorithms for AI and ML from Stanford University is now available for free.
Recommends a free AI course from Stanford University. It takes just 1.5 hours to break down how Claude and ChatGPT work, helping you deeply understand AI's underlying logic to get more out of them.
Introduces StereoPolicy, a framework that leverages synchronized stereo image pairs to improve geometric reasoning for robot manipulation policies, avoiding the fragility of RGB-D and point clouds. It integrates with diffusion-based and vision-language-action policies, showing consistent improvements in simulation and real-world tasks.
Stanford University has released free online resources teaching high-income AI skills in 90 minutes, offering a significant advantage to early viewers.
This paper introduces BALAR, a training-free Bayesian agentic loop algorithm that enables large language models to actively reason and ask clarifying questions in multi-turn interactions. It demonstrates significant performance improvements over baselines on detective, puzzle, and clinical diagnosis benchmarks.