Researchers have deciphered a trove of data that shows one season of extreme melt can reduce the Greenland Ice Sheet’s capacity to store future meltwater – and increase the likelihood of future melt raising sea levels.
Ullman shares the prize with long-time collaborator Alfred Aho of Columbia University. They are recognized for their influential work on compilers and algorithms, including their co-authorship of widely popular textbooks on these topics.
The transition to 5G will affect every device connected to the internet, including drones. A team of scholars is working to protect the technology from vulnerabilities.
Stanford tries a new model for online learning. A free version of a popular intro to coding course is being offered for the second time this spring. The secret ingredient was the largest group of teachers for a single class. You can teach too! Applications are open.
Applying machine learning to a U.S. Environmental Protection Agency initiative reveals how key design elements determine what communities bear the burden of pollution. The approach could help ensure fairness and accountability in machine learning used by government regulators.
Stanford theater directors, computer scientists and electrical engineers created a new tool to help performers who are located in different spaces come together in online performances.
In traditional electronics, separate chips process and store data, wasting energy as they toss data back and forth over what engineers call a “memory wall.” New algorithms combine several energy-efficient hybrid chips to create the illusion of one mega–AI chip.
Supercomputer simulations of planetary-scale interactions show how ocean storms and the structure of Earth’s upper layers together generate much of the world’s seismic waves. Decoding the faint but ubiquitous vibrations known as Love waves could yield insights about Earth’s storm history, changing climate and interior.
A study of how 98 million Americans move around each day suggests that most infections occur at “superspreader” sites that put people in contact for long periods, and details how mobility patterns help drive higher infection rates among minority and low-income populations.
Tiny movements in Earth’s outermost layer may provide a Rosetta Stone for deciphering the physics and warning signs of big quakes. New algorithms that work a little like human vision are now detecting these long-hidden microquakes in the growing mountain of seismic data.
A new fault simulator maps out how interactions between pressure, friction and fluids rising through a fault zone can lead to slow-motion quakes and seismic swarms.
Engineers at Stanford have used X-ray CT scans, more common in hospital labs, to study how wood catches fire. They’ve now turned that knowledge into a computer simulation to predict where fires will strike and spread.
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.
Over his 40-year academic career, Garcia-Molina helped lay the technological foundations for cloud computing and broke open many new fields with his prolific and innovative scholarship.
In an audit of search media results for every candidate running for federal office in the 2018 U.S. election, Stanford scholars found no evidence of political bias for or against either party.
Robots, self-driving cars and other intelligent machines could become better-behaved thanks to a new way to help machine learning designers build AI applications with safeguards against specific, undesirable outcomes such as racial and gender bias.
Harbaugh, former chair of the Department of Geology, was a foundational figure in mathematical geology and active in campus leadership. He died July 28 at age 92.
Researchers have explained mysterious slow-moving earthquakes known as slow slip events with the help of computer simulations. The answer, they learned, is in rocks’ pores.
