A Polish mathematician was left surprised after an AI system solved a problem he had spent 20 years developing.

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 ...

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

Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...

Mental math shortcuts suggest future STEM performance—and gender is a significant predictor What is 29 + 14?

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

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 ...

Abstract: Multiple Sequence Alignment (MSA) is a fundamental challenge in bioinformatics, forming the basis for addressing numerous computational biology problems, e.g., protein structure prediction ...

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...