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 ...
When you are capturing audio from a speaker, you are rarely capturing the actual direct output of such a system. There are reflections and artifacts caused by anything and everything in the ...
Alphabet-owned Google (GOOG) (GOOGL) on Tuesday said it has begun the foundational work for "Project Suncatcher," the tech giant's latest and most ambitious initiative to scale machine learning in ...
Victoria Pitts-Taylor is a member of the American Association of University Professors and the National Women's Studies Association. Elizabeth Anne Wood a senior strategist with the Woodhull Freedom ...
Spectroscopic analysis is essential in modern astronomy, as spectra encode a wealth of physical information through their characteristic features, such as absorption and emission lines. These spectral ...
In May 2025, the U.S. Army’s Soldier Lethality Project at the Picatinny Arsenal in New Jersey announced the official type classification of SIG Sauer’s M7 rifle and M250 automatic rifle, previously ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min A planned $25 million renovation ...
JACKSONVILLE, Fla. – The Queer Trans Project, a Jacksonville-based, trans-led nonprofit that provides free gender-affirming resources to people across the country, was founded by 26-year-old Black ...
A six-part podcast exploring the story of medical treatment for transgender young people — how the care began, the lives it changed, and the legal and political fights that could end it in the United ...
Abstract: Forensic audio transcription is often compromised by low-quality recordings, where indistinct speech can hinder the accuracy of conventional Automatic Speech Recognition (ASR) systems. This ...