Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

As schools nationwide grapple with the best ways to keep students and staff safe from gun violence, a Gloucester County ...

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Abstract: The few-shot object detection (FSOD) in remote sensing (RS) faces a fundamental challenge in balancing contextual feature learning with the representation stability. Current approaches ...

Discovery joins a list of the greatest hits of the LIGO detector, which ten years ago became the first to detect gravitational waves. The songs of the cosmos, now that we can finally hear them, might ...

This work was aimed at evaluating the possibility of using bromophenol blue as an indicator for detecting the presence of Sclerotinia sclerotiorum in the seeds of dry-beans (Phaseolus vulgaris) and ...

The first artificial intelligence (AI) stethoscope has gone beyond listening to a heartbeat. Researchers at Imperial College London and Imperial College Healthcare NHS Trust discovered that an AI ...

Abstract: 3D object detection from a Bird’s Eye View (BEV) has emerged as a novel perception paradigm for autonomous driving scenarios. While most current 3D object detection methods still rely on the ...

The DINOv3 codebase includes several task-specific heads for a variety of tasks, including classification, depth estimation, object detection, and semantic segmentation. The initial focus of this ...

“Our research shows that there’s strong demand for storage consumption models in Europe,” said Luis Fernandes, Senior Research Manager, IDC. “Organizations want to free up staff for higher-value work ...