Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

With support from the W. M. Keck Foundation, a Stevens–Yale collaboration is now transforming graviton detection from a ...

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...

Some of the worst computers ever built or used in real life. Watch: Explosions in Venezuela’s capital Iran's exiled crown prince sends a message to Donald Trump You've Probably Never Seen These Rare ...

Abstract: Vision Transformer (ViT) is an image recognition model that uses transformer architecture, which has a numerous advantage over Convolution Neural Networks (CNN). It offers improved accuracy, ...

The race to the bottom is on as the NFL's regular season begins to wrap up. Some teams are looking forward to the playoffs, while others like the New York Giants and Las Vegas Raiders have other ...

The Rose Bowl will be decided on the field next week in Pasadena, but both Las Vegas and predicative analytics have a clear favorite in the game. The Hoosiers are favored by 6.5 or 7 points on major ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new problem for AI to tackle in 2026. Opinion I have followed computer vision and ...