“The first step to delivering this prevention is through a capital-efficient roll-up of profitable but aging radiology ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

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) ...

Discover how longitudinal data helps analyze financial trends, business risks, and economic changes with repeated observations of the same subjects over time.

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

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

"A different future is possible if newsrooms treat data projects as conversations rather than finished products." ...

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

An investigative reporter best known for exposing fraud at Silicon Valley blood-testing startup Theranos sued Elon Musk's xAI, Anthropic, Google , OpenAI, Meta Platforms and Perplexity on Monday for ...

Contributed by Vikhyat Chaudhry, co-founder, CTO, and COO at Buzz Solutions From Imagery to Intelligence For the last several ...