For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

As third-party cookies lose their grip on digital marketing and privacy regulations tighten, marketers haven't lost data; ...

RIT computer science professor Weijie Zhao has earned a National Science Foundation CAREER Award to defend machine learning ...

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate ...

AllDigital Specialty Insurance never had to. When CEO Athula Alwis (pictured) and his co-founders launched the company, they ...

Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of ...

Most AI search guidance stops at citations. This architecture framework extends to autonomous agents completing transactions ...

From the weather to sports to the performance of the stock market, predictions are a regular feature of our lives. Most of ...

New materials designed by artificial intelligence promise to provide stronger hip replacements and improve how fractures heal.

When you tap your card, a signal travels to your bank’s fraud detection system in the time it takes to blink. The transaction processing at your checkout is fully automated, ope ...

Gaming has become a vital research area in the most advanced forms of decision algorithms, optimization, and procedural ...