Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

Haruna Ogweda has been immortalised as the 277th Certified Global Tech Hero, a recognition that celebrates a career defined ...

The technique, called DiffProtect, quietly rewrites a person’s face in a photograph using the same generative technology ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...

Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Autonomous driving systems increasingly rely on data-driven approaches, yet many still struggle with reasoning, handling rare scenarios, and transparently explaining their actions. A new study ...