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Planet Labs tests onboard AI object detection on Pelican-4 satellite

Planet Labs PBC (NYSE:PL) said it has successfully carried out AI-powered object detection directly aboard its Pelican-4 ...

Ultralightweight sonar plus AI lets tiny drones navigate like bats

To help small aerial robots navigate in the dark and other low-visibility environments, my colleagues and I developed an ultrasound-based perception system inspired by bat echolocation. However, ...

Syntiant and Novi Space Successfully Demonstrate Low-Power AI Inference in Orbit

Efficient ML Models Enable Real-Time Object Detection in Constrained EnvironmentsIRVINE, Calif. and REDWOOD CITY, Calif., March 26, 2026 (GLOBE NEWSWIRE) -- Syntiant Corp., a leading provider of ...
Directions Magazine

Mapping Asbestos-cement Roofs Using Remote Sensing

The program will update the register of asbestos-cement rooftops on public and private properties throughout Italy through an ongoing, phased workflow that is refined as new imagery is acquired and ...
Live Science

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...
Scientific Research Publishing

Srivastava, U.C., et al. (2020) Intracranial Hemorrhage Detection Using Neural Network Based Methods with Federated Learning.

ABSTRACT: Intracranial hemorrhage (ICH) is a critical subtype of stroke that arises from bleeding within the brain and often leads to severe neurological damage or death if not diagnosed at an early ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

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 ...
IEEE

Magnetic Anomaly Target Detection Using Neural Network With 2-D Multihead Attention

Abstract: The magnetic anomaly target detection is a widely used technique to locate obscured ferromagnetic objects for both civilian and military purposes. To improve the detection performance at low ...