Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, resource-intensive simulations. Researchers at Chungnam National University have ...

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

These findings are detailed in Integration of Artificial Intelligence in Food Processing Technologies, a detailed review that ...