In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...

Researchers, including the University of Tennessee, Knoxville’s Belinda Akpa, are using predictive modeling and machine ...

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

The competitive advantage in AI is no longer coming from better prompts or larger models. It is coming from better architecture.

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

The global electronics manufacturing industry is undergoing rapid transformation. The increasing complexity of devices, shrinking component sizes, and the rise ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis ...

AI has fundamentally altered how teams think about mobile software, moving the focus from feature accumulation to long-term ...