Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...

Abstract: Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in videos. The challenging issue in this task is to alleviate competitive learning between the ...

White House document says Europeans have unrealistic expectations of Ukraine war Document says some NATO members may become 'non-European' Some European commentators see echoes of far-right talking ...

Artificial intelligence models don’t have souls, but one of them does apparently have a “soul” document. A person named Richard Weiss was able to get Anthropic’s latest large language model, Claude ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Mere hours after OpenAI updated its flagship foundation model GPT-5 to GPT-5.1, promising reduced token usage overall and a more pleasant personality with more preset options, Chinese search giant ...

Tesla is recalling approximately 13,000 recent Model 3 and Model Y vehicles built earlier this year due to a battery pack defect that can result in power loss. In August, Tesla started getting reports ...

Andrew Ng’s startup LandingAI wants to make agentic AI the backbone of enterprise document processing with ADE DPT-2. (Photo by Mark RALSTON / AFP) (Photo credit should read MARK RALSTON/AFP via Getty ...

IBM is releasing Granite-Docling-258M, an ultra-compact and cutting-edge open-source vision-language model (VLM) for converting documents to machine-readable formats while fully preserving their ...

A common misconception in automated software testing is that the document object model (DOM) is still the best way to interact with a web application. But this is less helpful when most front ends are ...

Abstract: Object detection has become crucial due to its extensive applications across various industries. However, the data used to train these models is often sensitive and proprietary, raising ...