Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...

While it's no replacement for either computer, the new device is a powerful alternative for addressing some very practical ...

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

Four Gemini 3 Pro GA variants are in private A/B tests, with heavy SVG tuning; learn what changes and pick the right use case.

Q4 Earnings Per Share (EPS) -- $0.29, consistent with expectations and closing annual performance near the high end of ...

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated ...

At a recent Bengaluru mixer hosted by E2E Networks, NVIDIA, and YourStory, founders and ecosystem builders unpacked the real ...

A perspective in the Journal of the Royal Society Interface argues that advances in AI, sensing technologies and modeling are ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...