GitHub

DART: Detect Anything in Real Time

Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.

The Accessibility Tree Is How AI Agents Read Your Site & It’s Breaking

The accessibility tree decides whether an AI agent can read and act on your page. The 2026 data says the web is getting ...
IEEE

A Physics-Informed Neural Network Framework for Real-Time Model Predictive Shape Manipulation of Deformable Linear Objects

Abstract: Shape control of deformable linear objects (DLOs) is a major challenge in robotics due to their high-dimensional, nonlinear dynamics and sensitivity to boundary conditions. Existing ...
MacRumors

Apple Unveils Xcode and Foundation Models Framework Improvements

Apple today announced a new Foundation Models framework for developers alongside a set of Xcode enhancements aimed at agentic coding workflows. The Foundation Models framework gains image input ...
IEEE

A Comprehensive Review of YOLO Object Detection Models Across Diverse Domains: Evolution, Adaptations, and Performance Benchmarks

Abstract: Object detection is a core computer vision problem that requires real-time performance as an indispensable companion of accuracy. The YOLO family (You Only Look Once) has gained popularity ...