Virtual threads, revealed in Java's Project Loom and generally available with the Java 21 LTS, promise unparalleled scalability, simplified asynchronous coding and more efficient resource utilization.

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 ...

Technology Google wants to solve tricky physics problems with quantum computers Quantum computers could become more useful now researchers at Google have designed an ...

More information: Daniel Lersch et al, SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver, Machine Learning: Science and Technology (2025). DOI: 10.1088/2632-2153 ...

Through Search and Lens, users may solve problems centering on geometry, trigonometry, physics, and calculus, with its equation available for every prompt. This is thanks to its latest development ...

"One of the central questions that faces quantum computing is what classes of problems they can most efficiently solve but classical computers cannot," says Marco Cerezo, the Los Alamos team's ...

This illustration represents a ring-all-reduce setup of a computing cluster's graphics processing units, used to solve an inverse problem using an example from nuclear physics.