Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

The biggest thing is the community. UT is warm, welcoming, and genuinely homey, and that kind of environment matters more ...

Computational facial recognition -- which captures hundreds of attributes of facial structure -- is used for everything from ...

The day when a quantum computer can crack commonly used forms of encryption is drawing closer. The world isn’t prepared, experts say.

Random number generators have been around for ages, but they often have subtle imperfections that cause patterns to emerge.

Turing Award winner Gilles Brassard has spent decades warning about the threat posed by powerful quantum encryption.

Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics ...

Looking for a six-figure career with real staying power? These 12 occupations all pay over $100,000 and are projected to keep ...

The company, Geedge Networks, sells a commercial version of the surveillance and censorship software used by the Chinese ...

AI parenting book Raising AI hits paperback from MIT Press as Trump signs a new AI executive order. Author De Kai, who built ...