A new model offers a way to predict the condition of a battery’s internal systems in real-time with far more accuracy than existing tools. In electric cars, the technology could improve driving range estimates and prolong battery life.
Using a new algorithm, Stanford researchers have reconstructed the movements of individual particles of light to see through clouds, fog and other obstructions.
Researchers have invented a way to slide atomically-thin layers of 2D materials over one another to store more data, in less space and using less energy.
Researchers have created a device that can integrate and interact with neuron-like cells. This could be an early step toward an artificial synapse for use in brain-computer interfaces.
After analyzing 95 million traffic stop records, filed by officers with 21 state patrol agencies and 35 municipal police forces from 2011 to 2018, researchers concluded that “police stops and search decisions suffer from persistent racial bias.”
Biologist Erin Mordecai discusses different social distancing strategies, how long we may need to maintain them and the risk of a disease resurgence if precautions are lifted too early.
A new device enables researchers to observe hundreds of neurons in the brain in real-time. The system is based on modified silicon chips from cameras, but rather than taking a picture, it takes a movie of the neural electrical activity.
Hanrahan splits the prize with one-time mentor and Pixar colleague Ed Catmull. The pair’s work continues to transform film, video games, virtual reality and more.
The next era of computing will depend on controlling light the way we now control electricity, and Stanford scientists have developed a trick that could do just that.
