Abstract: Real-time object detection on edge devices operates under tight computational, memory, and power budgets. Prior work typically treats model compression and hardware acceleration ...

The EEG system in use for a neonatal patient. [Image courtesy of CeriBell] CeriBell (Nasdaq:CBLL) announced today that it received FDA 510(k) clearance for its next-generation Clarity algorithm. The ...

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 have developed a new algorithm that can help multiple drones work together to control and transport heavy payloads. Developed by scientists at TU Delft, the algorithm can help perform ...

CEDAR RAPIDS, Iowa (KCRG) - The College Community School District’s is the latest to start using gun detection software to prevent mass shootings. The school district has contracted with ZeroEyes, ...

CONROE, Texas, Oct. 16, 2025 (GLOBE NEWSWIRE) -- via IBN -- Safe & Green Holdings Corp. (SGBX) (NASDAQ: SGBX), and its wholly owned subsidiary, Olenox Corp, a vertically integrated energy company, ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Lancaster County School District installed weapons detection systems in all middle and high schools and began operation on Friday. The EVOLV system uses AI technology to identify weapons and weapon ...

LANCASTER COUNTY, S.C. — Lancaster County School District installed weapons detection systems in all middle and high schools and began operation on Friday. The EVOLV system uses AI technology to ...

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: ...

ABSTRACT: 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 ...