Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

MEXICO CITY (AP) — Mexico unveiled plans Wednesday to build what it claims will be Latin America’s most powerful ...

Over the last few years, systems and applications that help visually impaired people navigate their environment have undergone rapid development, but still have room to grow, according to a team of ...

The model can interpret on-screen visuals, automate tasks directly on the device, and give enterprises a more affordable ...

The development of AI image and video generation models has been controversial, to say the least. Artists have accused AI ...

By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new ...

How can components be designed for an optimal balance of minimal weight and maximum robustness? This is a challenge faced by many industries, from medical device manufacturing to the automotive and ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time ...

While AI’s potential in healthcare is vast, its most significant impact is in medical imaging. The ROBO Global Healthcare ...

The newest empirical benchmark from researchers at Scale AI and the Center for AI Safety finds current AI agents completing ...