Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...

Abstract: The YOLOv4 network is widely used in object detection tasks as a representative network, but there is also the problem that the complexity of the network model affects the detection speed.

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 ...

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 ...

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. A common misconception in automated software testing is that the document object model (DOM) ...

ACORD, the global standards-setting body for the insurance industry, has announced the launch of the Next-Generation Digital Standards (NGDS) Object Model, designed to streamline digital data exchange ...

This tutorial covers easy magic tricks using items like cards, rubber bands, and pencils. Each trick is selected for its simplicity and visual appeal, making them perfect for beginners. The video ...

Bolton on Russian sanctions threat: Trump laying the groundwork to say ‘I’m done with it’ 'Gilligan's Island': Untold Secrets of the Classic Castaway Comedy Millions of Americans could see credit ...

This article addresses a critical source of confusion in legal technology: the conflation of document content and metadata in generative AI tools for eDiscovery. Document content 2 is the text and ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...