The TeamPCP hacking group continues its supply-chain rampage, now compromising the massively popular "LiteLLM" Python package ...

Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user ...

With 125,000 GitHub stars, 225 million package downloads, and 2.5 billion daily inferences, the team behind Ultralytics YOLO features a unified platform to take vision AI from raw data to production ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

In the wake of Sunday’s attack on a Hanukkah celebration in Sydney, some non-Jews are placing menorahs in their windows as a visible show of support for their Jewish neighbors. “My family is not ...

Abstract: This paper presents an enhanced approach to real-time object detection, addressing challenges such as movement dynamics and environmental variability. The proposed method employs transfer ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

The mystery object that struck a plane at 36,000 feet is likely not space debris, as some speculated, but rather a Silicon Valley test project gone wrong. On Oct. 16, United flight 1093 took off from ...

Xcel Energy confirmed Friday, Oct. 10, that it is withdrawing the proposed Oneida 2 solar project from regulatory proceedings in Texas and New Mexico, announcing it will not move forward with ...

Abstract: Recently, salient object detection (SOD) in optical remote sensing images, dubbed ORSI-SOD, has attracted increasing research interest. Although deep-based models have achieved impressive ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.