Thanks to researchers at Georgia Tech, robots have taken several new steps towards replacing human labor – and not simply for ...

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...

U-TAPAO ROYAL THAI NAVY AIRFIELD, Thailand — For the first time, U.S. Army space operations Soldiers assigned to 3rd Multi-Domain Task Force conducted defensive space control operations during ...

Abstract: The Microgrid Energy Management System (MEMS) aims to ensure the stable operation of microgrids and achieve optimal economic allocation. In recent years, the focus of research has been on ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

Abstract: Federated learning enables many applications benefiting distributed and private datasets of a large number of potential data-holding clients. However, different clients usually have their ...

The modern era has witnessed a surge in the use of artificial intelligence (AI) and machine learning (ML) to support a range of education-related tasks. These include predicting student learning ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...