An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.

TireTutor has acquired ImprezzAI, an AI marketing startup whose technology TireTutor has used to optimize paid media ...

Zebra has a global manufacturing and selling footprint and previously faced risk from its reliance on Chinese manufacturing. However, Zebra has alleviated this pressure in recent years and now has ...

Eaton, the U.S. Army Corps of Engineers and the National Renewable Energy Laboratory (NREL) teamed up to develop a ...

With the power of advanced degrees from the University of Illinois at Urbana-Champaign and IIT Kanpur, Pratik has spearheaded ...

Against the backdrop of Pearl Harbor’s historic Ford Island, the U.S. Army executed a groundbreaking demonstration of ...

Innovations include fire stunt safety, camera stabilization, and machine learning denoisers for rendering shortcuts.

Dallas City Council hears update on artificial intelligence plans. Concerns over bias and energy usage of A.I. data centers in the city are also discussed.

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...

In a significant leap forward for ammunition logistics, the Joint Munitions Command has successfully implemented a machine ...

The study underscores that traditional statistical approaches, while valuable, often fail to capture the intricate relationships between environmental, temporal, and situational factors leading to ...

Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.