Professors Emma Alexander, Manling Li, Han Liu, Marcelo Worsley, and their students represented Northwestern CS at CVPR 2026 ...

Learn how to achieve tangible ROI from smart manufacturing.

The lives of Blackfoot men as they navigate identity, kinship, and the layered expectations of manhood. What does it mean to be an Indigenous man today? Romance novels have become one of Canada's ...

Abstract: Due to limited time and resources, web software engineers need support in identifying vulnerable code. A practical approach to predicting vulnerable code would enable them to prioritize ...

Anthropic said this week that it limited the release of its newest model, dubbed Mythos, because it is too capable of finding security exploits in software relied upon by users around the world.

In January 2026, the CEO of a Fortune 500 insurance company convened his senior team to discuss ownership of the company’s AI initiatives. The CIO felt the answer was obvious: agentic AI systems roll ...

The best way to understand deep learning is learning by doing. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code.

The Department of Veterans Affairs plans to roll out two ambient dictation technologies next month, Abridge and Knowtex AI, Assistant Under Secretary for Health Carolyn Clancy, M.D., said on Monday at ...

SOD is an embedded, modern cross-platform computer vision and machine learning software library that exposes a set of APIs for deep-learning, advanced media analysis & processing including real-time, ...

Microsoft’s Copilot generative AI is popping up on the web, in mobile apps, in the Edge browser, and especially in Windows. But just what exactly is it? Here’s everything you need to know. I've been ...

SINGAPORE – The unusual sight of a car stuck between the pillars of a sheltered walkway with both its front wheels off the ground has lit up social media, inspiring some netizens to come up with ...

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology’s biggest challenges: predicting the 3D shape of proteins ...