A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Discover how the global Machine Learning as a Service (MLaaS) market, valued at USD 4.12 billion in 2022, is projected to ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

OJAI, CALIFORNIA / ACCESS Newswire / September 9, 2025 / Elixir today announced significant progress in its patent ...

Abstract: This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...

Explain your models with Shapley interactions: Just load your data and model, and then use a shapiq.Explainer to compute Shapley interactions. A handy way of visualizing interaction scores up to order ...