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

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 ...

Real-time collaboration between people and AI is emerging as a critical driver of faster, higher-quality business innovation.

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

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

Perpetuals.com Ltd. (Nasdaq:PDC) ("Perpetuals.com" or the "Company"), a regulated financial technology company combining ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

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

The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

Leaders evaluating this shift should monitor four dynamics that I believe will determine competitive outcomes over the next 18 to 24 months.

After two and a half years of work, the MLEDGE project (Cloud and Edge Machine Learning), led by Professor Nikolaos Laoutaris at IMDEA Networks, ...