Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

If you have used our code for research purposes, please cite the publications mentioned above. For the sake of simplicity, we provide the Bibtex format: @article{Lapucci2024, author={Lapucci, Matteo ...

TikTok explains issues with its algorithm. TikTok users in the U.S. reported feed and content issues over the weekend. Issues followed the creation of a separate U.S. TikTok entity, as ...

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

On Tuesday afternoon, Bob Starkey was in the LSU women’s basketball team’s locker room when he decided to take out his phone and snap a photo he’d later post to Instagram. Starkey wanted people to see ...

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...