Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

A researcher, professor and federal policy adviser, he guided students who went on to do groundbreaking work in connecting ...

The Ultrahuman Ring Air is lighter than rivals and offers some serious health and wellness insights, but it won’t win many ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

AI-driven platform offers 24/7 mentorship for over 250 million Indian students.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

See how optimizing content differently for LinkedIn, Reddit, and search engines improves reach, relevance, and user ...

Views are the heartbeat of TikTok. On a platform built for high-velocity discovery, views are the first—and most ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Nuclear energy is trending in the right direction, and it’s thanks to an unlikely suspect that has been blowing up for the last four years. Artificial intelligence has been everywhere as of late; ...