Sight, Deep Learning, Convolutional Neural Network, Long Short-Term Memory, Self-Attention Mechanism Share and Cite: Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep ...

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

Alberto Corigliano introduces the ERC Advanced Grant project IMMENSE, which aims to overcome the challenge of developing ...

A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses ...

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create synthetic data in a can solve this bottleneck.

Whether by temperament or acquired habits, journalists spend their days taking the world apart piece by piece, poking at the gears and levers of daily life to see what if anything makes the ...

For 40,000 years, these bone-carved figurines lay silent, until now, exposing a lost story of our prehistoric ancestors.

Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are ...

These findings vindicate Marx’s analysis of the reserve army of labour—the unemployed and under‑employed population that ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...