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.
A Stanford study of Japanese and U.S. Twitter users shows that we are more likely to be influenced by posts that violate, rather than support, our cultural values.
A Stanford study of Japanese and U.S. Twitter users shows that we are more likely to be influenced by posts that violate, rather than support, our cultural values.
HAI Associate Director Daniel E. Ho Appointed to the Administrative Conference of the United States
The Administrative Conference of the United States is an independent federal agency dedicated to improving the administrative process through consensus-driven applied research and providing nonpartisan expert advice and recommendations for federal agency procedures.
The Administrative Conference of the United States is an independent federal agency dedicated to improving the administrative process through consensus-driven applied research and providing nonpartisan expert advice and recommendations for federal agency procedures.
A new summary of what is known about brain circuits suggests potential new directions for AI researchers.
A new summary of what is known about brain circuits suggests potential new directions for AI researchers.
In this pilot program, graduate students will work across disciplines on projects advancing a human-centered approach to the science of AI and its societal impacts.
In this pilot program, graduate students will work across disciplines on projects advancing a human-centered approach to the science of AI and its societal impacts.
Stanford Machine Learning Algorithm Predicts Biological Structures More Accurately Than Ever Before
Stanford researchers develop machine learning methods that accurately predict the 3D shapes of drug targets and other important biological molecules, even when only limited data is available.
Stanford researchers develop machine learning methods that accurately predict the 3D shapes of drug targets and other important biological molecules, even when only limited data is available.
How Stanford Scholars Collaborated with County Health Officials and a Local Community to Allocate COVID-19 Resources
By borrowing simple concepts from machine learning to identify disparities in COVID-19 testing, researchers helped Santa Clara County expand outreach to an area disproportionately affected by the pandemic.
By borrowing simple concepts from machine learning to identify disparities in COVID-19 testing, researchers helped Santa Clara County expand outreach to an area disproportionately affected by the pandemic.
A new study reveals models aren’t reporting enough, leaving users blind to potential model errors such as flawed training data and calibration drift.
A new study reveals models aren’t reporting enough, leaving users blind to potential model errors such as flawed training data and calibration drift.
We spoke to a Stanford prof on the tech and social impact of AI's powerful, emerging "foundation models"
This in-depth Q&A with HAI Faculty Affiliate Percy Liang explains the work and goals of the Center for Research on Foundation Models.
This in-depth Q&A with HAI Faculty Affiliate Percy Liang explains the work and goals of the Center for Research on Foundation Models.
HAI Co-Director Fei-Fei Li and HAI Faculty Affiliate Percy Liang define and discuss the increasing use of large, frighteningly smart, foundation models and the launch of a new center within HAI.
HAI Co-Director Fei-Fei Li and HAI Faculty Affiliate Percy Liang define and discuss the increasing use of large, frighteningly smart, foundation models and the launch of a new center within HAI.