For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

SpaceWERX validates BQP's physics-constrained machine learning technology for identifying unknown objects in orbit SYRACUSE, N.Y., July 17, 2026 /PRNewswire/ -- BosonQ Psi Federal LLC  (BQP) has ...

This physics-informed solution transforms high-fidelity sensor data into actionable intelligence, enabling owners and ...

From superconductors and AI-driven quantum analysis to black hole physics, Day 2 of QMAT2026 highlighted cutting-edge ...

We’re highlighting a few of these alumni who are now stepping into administrative roles. We appreciate their passion for ...

Drawing from his own experience in experimental science, Professor G Ravindra Kumar explained how AI could help address problems that researchers have been trying to solve for decades.

Soumitra Dutta, Oxford Former Dean's views on LLMs and what comes after them. Oxford, United Kingdom - 17 July, 2026 - ...

Explore the importance of on-the-job mentoring in transforming teacher practices for effective classroom learning in India.

Babies are tremendous learning machines, and key advances for AI may soon be found in the architecture of their little brains ...

Sponsored by Lagos Free Zone, the Tolaram Science Challenge is an annual STEM-based competition designed to promote scientific learning, innovation and problem-solving among secon ...

A senior mathematics educator and STEM curriculum designer at the High School Affiliated to Renmin University of China, Li has led the development of an integrated program aimed at nurturing ...