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 ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

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

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Companies ranging from OpenAI, Meta, Microsoft, and Google to smaller firms and startups are looking for high-quality AI ...

The air quality monitoring software sector demonstrates robust expansion driven by stringent environmental regulations and escalating urbanization concerns. Rising adoption across industrial ...