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) ...

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

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

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

Artificial intelligence is revolutionizing physics by making complex concepts more intuitive, interactive, and personalized. From physics-informed neural networks to AI-powered simulations, these ...

IBM and Dallara are collaborating on the development of new physics-based AI foundation models. One early model was trained ...

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 ...

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 ...

What if your favorite movie scenes could be generated by artificial intelligence, not just with stunning visuals but with movements and interactions that obey the laws of physics? OpenAI’s latest ...