HAI Seminar with Google Learning Team
HAI Seminar with Google Learning Team
Stanford HAI co-director Fei-Fei Li says the next frontier in AI lies in advancing spatial intelligence. In this op-ed, she explains how enabling machines to perceive and interact with the world in 3D can unlock human-centered AI applications for robotics, healthcare, education, and beyond.
Stanford HAI co-director Fei-Fei Li says the next frontier in AI lies in advancing spatial intelligence. In this op-ed, she explains how enabling machines to perceive and interact with the world in 3D can unlock human-centered AI applications for robotics, healthcare, education, and beyond.
Welcome to Stanford Human-Centered AI Vodcast, where we don't sweep anything under the rug; where we question everything, starting with ourselves.
Welcome to Stanford Human-Centered AI Vodcast, where we don't sweep anything under the rug; where we question everything, starting with ourselves.
Newly appointed graduate fellows and postdoctoral fellows will help to shape the future of human-centered AI.
Newly appointed graduate fellows and postdoctoral fellows will help to shape the future of human-centered AI.
Building on the success of its first edition in 2023, the 2024 summit was hosted again by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and the Stanford Accelerator for Learning. The summit brought together Stanford faculty and students along with leaders and participants from academia, industry, civic society, PK-12 education, and government.
Building on the success of its first edition in 2023, the 2024 summit was hosted again by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and the Stanford Accelerator for Learning. The summit brought together Stanford faculty and students along with leaders and participants from academia, industry, civic society, PK-12 education, and government.
Stanford computer science scholars propose using language models to create new learning materials for K-12 students.
Stanford computer science scholars propose using language models to create new learning materials for K-12 students.