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 ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

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

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

AI is being used to replicate the human self, and without radical changes in human nature, the world will continue to be ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Generative AI in medtech raises questions on safety, validation, and regulatory challenges, explored in MD&M West's "GenMLP" session.

BENGALURU, India — Tending crops by day and then logging on for a night shift of data labeling, 27-year-old Chandmani ...

Computer scientist Alan Turing first posed this question in his landmark 1950 paper, though he didn’t use the term artificial general intelligence (AGI). His “imitation game,” now known as the Turing ...