At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high quality ...

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...

Quantum chemistry calculations offer the best combination of efficiency and accuracy for predicting molecular properties. But the complexity of density functional theory and other methods makes them ...

Subscribe to our newsletter for the latest sci-tech news updates. The study, conducted by Brookhaven theoretical physicist Weiguo Yin and described in a recent paper published in Physical Review B, is ...

How much faster could engineering progress with an artificial intelligence oracle that could answer any physics question? Such a machine is the big picture aim of the newly formed Center for ...

While atmospheric turbulence is a familiar culprit of rough flights, the chaotic movement of turbulent flows remains an unsolved problem in physics. To gain insight into the system, a team of ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

When my cofounder and I were accepted into a competitive startup accelerator program in fall 2025, we applied with an ambitious idea: to build an “AI scientist” for machine learning research. What ...

Experts gave AI 10 math problems to solve in a week. OpenAI, researchers and amateurs all gave it their best shot ...