Researchers at the Center for Computational Sciences, University of Tsukuba, have developed an accessible platform to overcome the limitations of conventional static docking simulations, offering new ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

The errors that quantum computers make are holding the technology back. But recent progress in quantum error correction has ...

Before rain begins to fall, scientists and engineers can predict where a storm might cause flooding thanks to advanced modeling and digital simulations that help guide billion-dollar decisions ...

“To me was like knives inside my body—like someone studying me from the inside.” That’s how Noémie Elhadad describes the pain of endometriosis, a condition she has lived with since she was a teenager.

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

One idle evening last October, Mehtaab Sawhney took up an old pastime. He began perusing the website erdosproblems.com, an updated record of the 1,179 conjectures left behind by the eccentric and ...

I am an enormous fan of both City Journal and Manhattan Institute because of their unflagging, unwavering optimism about America. That optimism shines through in their particular focus: solving ...

Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...