Why predictions fail: Traditional models struggle with threshold-driven landscapes like the Prairie Pothole Region, where water storage and sudden connectivity make streamflow unpredictable. AI’s new ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2024.230034 discusses how the synergy of traditional techniques and deep learning enables single-frame high-precision fringe pattern ...

Alsym Energy, a pioneer in non-flammable, high-performance sodium-ion batteries, today announced details of the proprietary physics-informed AI platform used to develop the company’s recently launched ...

From mapping deep mantle deformation to predicting seismic responses, AI is redefining how geoscientists tackle scarce and complex data. Semi-supervised learning, physics-informed models, and ...

Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results. When she was 10 years old, Rose Yu got a birthday present that would change her life — and, ...

If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals by a fraud detection system, or your day was made a little easier because you were able to ...

The knowledge-informed deep learning (KIDL) paradigm, with the blue section representing the LLM workflow (teacher demonstration), the orange section representing the distillation pipeline of KIDL ...