Theoretical physicist Sabrina Gonzalez Pasterski, who built and flew her own airplane before she had a driver's license, is leading a multimillion-dollar effort to answer one of science's biggest ...

New integration enables engineers to solve complex fluid dynamics problems 10-20x faster, transforming simulation into a scalable source of synthetic data for Engineering AI and Digital Twins.

Quantum mechanics is both the most powerful theory physicists have ever devised and the most baffling. On the one hand, ...

Debuting at APS Global Physics Summit with Quantum Machines and IQCC, Alongside New Collaborations, Education Programs, and Hiring Expansion ...

Official data known as National Ratings is used to check the difficulty level of each course - but what does it actually tell us?

Researchers at The University of New Mexico and Los Alamos National Laboratory have introduced a new computational approach designed to solve one of ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Trotz, now 92, never stopped teaching, and even after he migrated and was officially long retired from the public service, he ...

Researchers have identified a potential mechanism that explains how turbulent plasma can produce the vast, ordered magnetic fields observed across the universe Cosmic magnetic fields are everywhere, ...

Samsung (SSNLF) teams with Nvidia (NVDA) on ferroelectric NAND chips using AI that's 10,000x faster than traditional methods.

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Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.