Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic environments with objects of varying stiffness or weight. To tackle this challenge, ...

Abstract: Salient Object Detection in optical remote sensing images (ORSI-SOD) has received increasing attention in recent years. Although some progress has been made in existing methods, there are ...

Luma, the a16z-backed AI video and 3D model company, released a new model called Ray3 Modify that allows users to modify existing footage by providing character reference images that preserve the ...

On Monday, Anthropic announced Opus 4.5, the latest version of its flagship model. It’s the last of Anthropic’s 4.5 series of models to be released, following the launch of Sonnet 4.5 in September and ...

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 ...

A new Agent Mode comes to Office apps today, alongside an Office Agent in Copilot chat. is a senior editor and author of Notepad, who has been covering all things Microsoft, PC, and tech for over 20 ...

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...

Tom has a Master's degree in Journalism. His editorial work covers anything from archaeology and the environment to technology and culture. Tom has a Master's degree in Journalism. His editorial work ...

DeepSeek's R1 model attracted global attention in January Article in Nature reveals R1's compute training costs for the first time DeepSeek also addresses claims it distilled OpenAI's models in ...

IDOR is when an application exposes internal objects (like user IDs, files, or records) in a way that lets users access data they shouldn’t, for example, by simply changing a value in the URL. IDOR is ...

This repository is the official implementation of LMM-Det, a simple yet effective approach that leverages a Large Multimodal Model for vanilla object Detection without relying on specialized detection ...