Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Will No. 5 Iowa State stay perfect at home? Get expert Houston vs. Iowa State predictions, spread odds, and 10,000 ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Researchers conducted a review of studies on AI use in oncology nursing to determine its potential role in clinical practice.

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, providing the foundation for AIQ’s predictive insights. Together, ADM and ...