Abstract: This presentation discusses computational modeling of complex materials behaviors under multi-physics conditions for Aerospace applications. We develop chemistry, physics, and ...
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A simple physics-inspired model sheds light on how AI learns
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...
Abstract: Artificial intelligence (AI) has reshaped industries like tech, finance, and medicine and is now widely accessible to the general public, with examples like ChatGPT and Midjourney. However, ...
A new study in Science Advances finds that physics-based weather models outperform leading AI systems when predicting ...
Weather forecasting is another aspect of modern life that artificial intelligence is transforming. Models like GraphCast, ...
Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.
Across Asia, the Pacific Ocean, and the Americas, El Niño Southern Oscillation (ENSO) brings variations in winds, weather, and ocean temperature that can cause droughts, floods, crop failures, and ...
The use of better-quality data can improve the business case for a number of solar projects. Image: Photon Group. The integrity of a PV project largely depends on the quality of the solar, ...
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