Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

In two separate blog posts, the Menlo Park-based tech giant detailed the new AI models. There are three models in total. SAM 3 for image and video tracking and segmentation, SAM 3D Objects for ...

We're announcing our newest additions to the Segment Anything Collection, SAM 3 and SAM 3D, which simplify video editing and ...

Abstract: Point cloud 3D object detection technology has increasingly gained attention due to its precision in rendering three-dimensional environments essential for autonomous driving. However, ...

Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.

A research team has developed an extrapolation-based Doppler resolution enhancement algorithm for frequency modulated ...

In part two of this three-part series, AI scientists immerse themselves in the world of primatology to accelerate behavioral ...

Signal extrapolation yields high-resolution Doppler estimation without complex computation - Expected to improve unmanned system performance ...

ZAC has an impressive team of scientists/developers. The development is headed by Dr. Saied Tadayon, a scientist, veteran software developer, and math prodigy, who ranked 1st as an undergrad at ...

Scientists in China have developed a new deep learning model based on the so-called "You Only Look Once" algorithm, which requires only one forward propagation pass through the neural network to make ...