High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...

Abstract: Large language models (LLMs) demonstrate outstanding performance on general natural language processing tasks but face persistent challenges in knowledge-intensive domains: hallucinations ...

Progress against fraud depends on shared accountability, a common language for risk tolerance and ongoing feedback loops.

Abstract: Nowadays, a permanent magnet synchronous motor (PMSM) has emerged as a potential alternative for aerospace actuator applications. The PMSM is a high-power-to-weight-ratio electrical machine ...

Let’s talk about something most people notice when they walk into a clinic or hospital today. Everything feels faster, more organized, and a bit more connected than it used to. That’s because ...

Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

CRANBURY, N.J., Jan. 27, 2026 /PRNewswire/ -- Integris, a national leader in future-ready managed services, today announced significant advancements in its AI for IT Operations (AIOps) framework, ...

Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference data is often poorly governed, inadequately classified and rarely backed up.