Their tool, CoSyn (short for Code-Guided Synthesis), taps open-source AI models’ coding skills to render text-rich images and generate relevant questions and answers, giving other AI systems the data ...

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

In this paper, we present an advanced approach for image segmentation that enhances Vision Transformers (ViTs) by integrating multi-scale hybrid attention mechanisms. While ViTs use self-attention to ...

This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoing a transformation—and AI is at its core. As deep learning continues to mature, its ...

Monocular visual odometry (VO) is crucial for the application of various autonomous systems. However, the inherent scale ambiguity issue in monocular methods greatly limits their performance in pose ...

Netanyahu backs Gaza relocation plan, rejecting Palestinian statehood and risking fragile cease-fire talks.