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 new summary of what is known about brain circuits suggests potential new directions for AI researchers.

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.

A new study reveals models aren’t reporting enough, leaving users blind to potential model errors such as flawed training data and calibration drift.

Armchair researchers and ordinary citizens are changing the rules of spycraft. Expert Amy Zegart explains how U.S. agencies must adapt.

A new approach helps scientists understand why extreme precipitation days in the Midwest are becoming more frequent and could better predict future weather changes.