All Work Published on Machine Learning
After launching the Center for Research on Foundation Models, we discuss why these models are so important and reflect on the community response.
After launching the Center for Research on Foundation Models, we discuss why these models are so important and reflect on the community response.
The AI expert, who joins Stanford HAI as a Distinguished Education Fellow, discusses building inclusive education and broadening access to students.
The AI expert, who joins Stanford HAI as a Distinguished Education Fellow, discusses building inclusive education and broadening access to students.
How Bodies Get Smarts: Simulating the Evolution of Embodied Intelligence
An in silico playground for creatures that learn, mutate, and evolve establishes the importance of morphological intelligence and suggests a new way to optimize embodied AIs.
An in silico playground for creatures that learn, mutate, and evolve establishes the importance of morphological intelligence and suggests a new way to optimize embodied AIs.
New research shows that the benefits people could reap from exoskeletons rely heavily on having time to train with the device.
New research shows that the benefits people could reap from exoskeletons rely heavily on having time to train with the device.
A team of computer scientists devised a way to quickly remove traces of sensitive user information from machine learning models.
A team of computer scientists devised a way to quickly remove traces of sensitive user information from machine learning models.
Scholars propose a way to help mobile robots choose when to communicate with the cloud without latency or lost data issues.
Scholars propose a way to help mobile robots choose when to communicate with the cloud without latency or lost data issues.
