Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

We are witnessing a fundamental shift in how successful systems are designed, and agentic AI sits at the heart of this revolution.

Indian American researcher receives funding and mentorship to push the boundaries of electronic design automation ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto ...

Flexible composites-based piezoelectric nanogenerator (PENG) with low cost, stable properties and sensitivity to mechanical ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Cadence developed a digital twin of NVIDIA’s SuperPod in a bid to boost the power efficiency and cooling effectiveness of AI ...

What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF grants to design responsive robots to assist people with paralysis and ...

More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...