The next bull run is likely to reward projects that treat AI as a foundation rather than a feature. Systems that improve fraud detection, enforce limits on automation, and integrate compliance into ...

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

Azilen launches an edge AI framework combining TinyML and Agentic AI for real-time edge decisions, reducing latency, ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...

A sophisticated Python-based malware deployment uncovered during a fraud investigation has revealed a layered attack ...

The AI Awards is accepting entries from companies worldwide working in AI. Those looking to submit their projects ...

A digital rewards token is helping shape the future of financial technology.

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

The third-ranking leader in the House of Representatives, who also happens to hail from Minnesota, demanded answers from Gov. Tim Walz after a YouTuber tried to confront employees of an alleged ...

Financial fraud has become both more sophisticated and harder to isolate, hiding within massive streams of legitimate activity. Conventional machine learning models, long relied upon by banks and ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...