Designed to assist rather than replace doctors, a new autonomous tool scans clinical notes to highlight patients who may need urgent follow-up for cognitive decline and potential dementia. When you ...

Alfredo has a PhD in Astrophysics and a Master's in Quantum Fields and Fundamental Forces from Imperial College London. Alfredo has a PhD in Astrophysics and a Master's in Quantum Fields and ...

The Anti-Tail of 3I/ATLAS Wobbled Before Perihelion reports new observations of the interstellar object 3I/ATLAS by Avi Loeb, based on ground-based telescope data collected in mid-2025. The article ...

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...

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 ...

Researchers at Queen Mary University of London and University College London have found that humans can detect objects buried in sand without directly touching them. The discovery challenges the ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

Using the Ultraviolet/Optical Telescope aboard NASA’s Neil Gehrels Swift Observatory, astronomers have detected hydroxyl (OH) gas — a chemical fingerprint of water — from the interstellar object ...

I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...

We are currently training with the following code: yolov8Det = trainYOLOv8ObjectDetector('data.yaml', 'yolov8n.pt', ImageSize=[720 720 3], MaxEpochs=10); The structure of yolov8n.pt that we are using ...

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 ...