Artificial intelligence

Stanford Institute for Human-Centered Artificial Intelligence —

Stanford researchers build $400 self-navigating smart cane

Incorporating sensing and way-finding approaches from robotics and self-driving vehicles, the cane could reshape life for people with blindness or sight impairment.

AI system identifies buildings damaged by wildfire

A deep learning approach to classifying buildings with wildfire damage may help responders focus their recovery efforts and offer more immediate information to displaced residents.

AI algorithm solves structural biology challenges

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 Institute for Human-Centered Artificial Intelligence —

Hospital AI tools aren’t well documented

A new study reveals medical AI tools aren’t being documented with rigor or transparency, leaving users blind to potential errors such as flawed training data and calibration drift.

Stanford HAI —

How flawed data aggravates inequality in credit

AI offers new tools for calculating credit risk. But it can be tripped up by noisy data, leading to disadvantages for low-income and minority borrowers.

Stanford Graduate School of Business —

Facing the unsettling power of AI to analyze our photos

In a Q&A, Michal Kosinski, associate professor of organizational behavior, talks about exposing the dangers of new technologies and the controversies that come with it.

Understanding extreme weather

A new machine learning approach helps scientists understand why extreme precipitation days in the Midwest are becoming more frequent. It could also help scientists better predict how these and other extreme weather events will change in the future.