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

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

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

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...