As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

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, ...

The Breakthrough Listen Initiative, together with its network of collaborators, has undertaken observations of 3I/ATLAS using ...

Infant cry classification represents a pivotal advancement in neonatal healthcare, offering objective measures to interpret the varied signals expressed by newborns. Recent developments in deep ...

Explore some favorite visual stories of designers, developers and art directors from The Washington Post’s Design, Graphics and Opinions teams.

A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for ...

Current automated STD methods perform well under controlled conditions but degrade sharply in low SNR or with unseen targets, while standalone BCI ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

In the midst of the AI revolution, Perch, a model developed by the Google DeepMind team, helps conservationists analyse audio ...

Abstract: Ultrasonic Doppler examinations have been employed for evaluating the health status of divers post underwater activities, aiming to mitigate the risk of decompression sickness (DCS). However ...