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

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

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

Membership Inference Authors, Creators & Presenters: Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi Lai (CSIRO Data61), Xun Yi (RMIT University), Xingliang Yuan (University of ...

We stand at a turning point in artificial intelligence. For years, we built AI systems that followed our commands. Now, we are building AI agents that do not just follow commands, but learn, adapt, ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

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

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

AI agents capable of handling large portions of chip design and verification are less about convenience and more about ...

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 ...

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