Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

In interviews with The Daily Cardinal, tech leaders Jim Thompson, Mike Trigg and Allen Dines reflect on how AI has shaped ...

Meta’s chief AI scientist and Turing Award winner Yann LeCun plans to leave the company to launch his own startup focused on ...

Learn how ARUP's AI algorithm improves diagnostic accuracy for detecting intestinal parasites, enhancing treatment outcomes for patients.

Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...

In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge.

Data originates at the edge, and processing it locally unlocks powerful real-time efficiencies that open very rich product ...

AI can make ophthalmology more accessible, accurate, and preventative by using smart optical technology and data-driven diagnostics.

A Utah-based artificial intelligence company and scientists at ARUP Laboratories on Tuesday announced the development of an AI tool that detects intestinal parasites in stool samples quickly and more ...

AI is not merely a computational tool but an organizational change agent. Its ability to gather and analyze real-time data ...

Sealed for 57,000 years, a French cave has revealed eerie wall markings that could upend everything we thought we knew about ...