Recent advances in AI, quantum computing, and physics-based modeling are dramatically accelerating and expanding the scope of ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Adrian Macneil has a solid understanding of this space. As an executive at the self-driving startup Cruise, he built the ...

Flexcompute, Northrop Grumman, and NVIDIA have unveiled a physics-informed AI system that accelerates spacecraft plume impingement simulations by 100 times. The technology embeds physical laws into AI ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

AI excels at correlations but lacks physical intuition, creating gaps in real-world reasoning and reliability.

During surgery to correct an abnormal heartbeat, doctors rely on a mix of imaging and inference. Still, many critical details remain hidden. At RIT, artificial intelligence (AI) researchers want to ...

Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...

Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write email, and solve problems at seemingly lightning speed, pulling from enormous ...

Foams are everywhere: soap suds, shaving cream, whipped toppings and food emulsions like mayonnaise. For decades, scientists believed that foams behave like glass, their microscopic components trapped ...