The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.

Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...

University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in ...

By observing how health data changes over time, artificial intelligence can help identify “tipping points” when a patient’s ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

Read more about New GeoAI roadmap calls for equity-focused AI in global transportation systems on Devdiscourse ...