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

Zhipu claims GLM-Image achieved industry-leading scores among open-source models for text rendering and Chinese character ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

QINHUANGDAO, HEBEI, CHINA, January 8, 2026 /EINPresswire.com/ -- The global agricultural landscape is in a phase of ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Diffusion Language Models (DLMs) explores the potential of diffusion-based models to exceed the generative quality of traditional autoregressive language models, while overcoming their current ...

Abstract: Unsupervised person re-identification (Re-ID) requires learning semantic representation without identity labels. Existing methods entangle identity-related person features with ...

Diffusion generative models have demonstrated remarkable success in visual domains such as image and video generation. They have also recently emerged as a promising approach in robotics, especially ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...