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

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, ...

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

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 ...

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

CAAR ruled that multi-functional PCR instruments cannot be treated as spectrometers where optical detection is only one part ...

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

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) ...

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 ...

Could the removal of 75 million AI‑generated “spam” tracks from Spotify mark the turning point where music platforms, labels, and AI startups finally align on rules for the synthetic era? That scale ...

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

What resources do I need to become an effective voice teacher?” It’s one of the most common questions aspiring vocal ...