Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

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 ...

You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

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

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

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

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 ...

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

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...