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