Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...