Artificial intelligence

Deep learning comes full circle

Artificial intelligence drew much inspiration from the human brain but went off in its own direction. Now, AI has come full circle and is helping neuroscientists better understand how our own brains work.

Autonomous car research at Stanford

Stanford researchers are striving to help ensure the safety of driverless vehicles – from exploring complex ethical questions to developing leading-edge technologies to real-world testing of custom autonomous cars.

Autonomous robotics class integrates theory and practice

Students programmed robots to autonomously navigate an unknown cityscape and aid in a simulated rescue of animals in peril in a class that mimics the programming needed for autonomous cars or robots of the future.

Algorithms reveal changes in stereotypes

New Stanford research shows that, over the past century, linguistic changes in gender and ethnic stereotypes correlated with major social movements and demographic changes in the U.S. Census data.

Artificial intelligence index tracks emerging field

A Stanford-led team has launched the first index to track the state of artificial intelligence and measure technological progress in the same way the GDP and the S&P 500 index take the pulse of the U.S. economy and stock market.

Algorithm outperforms radiologists at diagnosing pneumonia

Stanford researchers have developed a deep learning algorithm that evaluates chest X-rays for signs of disease. In just over a month of development, their algorithm outperformed expert radiologists at diagnosing pneumonia.

Stanford scholars discuss mental health and technology

Conversational software programs might provide patients a less risky environment for discussing mental health, but they come with some risks to privacy or accuracy. Stanford scholars discuss the pros and cons of this trend.

SLAC National Accelerator Laboratory —

AI analyzes gravitational lenses 10 million times faster

SLAC and Stanford researchers demonstrate that brain-mimicking neural networks can revolutionize the way astrophysicists analyze complex data, including distortions in spacetime that are crucial for our understanding of the universe.