computing

New way of keeping data private

Many devices that are now a part of our daily lives collect information about how we use them. Computer scientists Dan Boneh and Henry Corrigan-Gibbs have created a new method for keeping that collected data private.

Machine learning aids environmental monitoring

Cash-strapped environmental regulators have a powerful and cheap new weapon. Machine learning methods could more than double the number of violations detected, according to Stanford researchers.

JackRabbot 2: The polite pedestrian robot

Like its predecessor, JackRabbot 2 is learning how to navigate safely through spaces occupied by people, following the rules of human etiquette. What it learns could help it move comfortably among us in the future.

Realistic sounds for computer animation

Sounds accompanying computer-animated content are usually created with recordings. Now, a new system synthesizes synchronized sound at the push of a button.

AI predicts drug pair side effects

Millions of people take upwards of five medications a day, but testing the side effects of such combinations was impractical – until now.

Students confront the messiness of data

The Stanford Data Challenge Lab class meets every day and requires nearly 100 homework assignments. But innovative instruction has students clamoring to take the class, which teaches professional-level data skills.

What’s next for net neutrality

Because the internet is constantly changing, it is tough to have regulations that will benefit consumers in terms of price and innovation, says Stanford scholar about the challenges of regulating the web.

Swirling liquids shed light on how bitcoin works

The physics involved with stirring a liquid operate the same way as the mathematical functions that secure digital information. This parallel could help in developing even more secure ways of protecting digital information.

Hennessy wins Turing Award for contributions to computing

Virtually all tablets, phones and smart devices run on a computer architecture developed by former Stanford President John Hennessy and his collaborator David Patterson. They won the 2017 Turing Award for their contribution.