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Scientists use machine learning to control specific brain circuits

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
IEEE

Ensemble of Fast R-CNN with Bi-LSTM for Object Detection

Abstract: Object detection is a critical task in computer vision, with applications ranging from autonomous driving to medical imaging. Traditional object detection models, such as Fast R-CNN, have ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the ...

Hologram processing method boosts 3D image depth of focus fivefold

Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...
Undark Magazine

As More Schools Turn to AI Weapons Detection, Questions Persist

Does the technology prevent shootings? The evidence is thin. Critics suggest security companies are preying on fear.

Catahoula Correctional Center enhances security with advanced full-body scanner training

Correctional officers at the Catahoula Correctional Center have completed specialized operator training on a newly installed ...

ShapeR Uses Clever AI To Rebuild Reality One 3-D Object At A Time

The new AI-based graphics tool bridges the gap between perfect imaging of objects in lab environments and capturing messy ...
IEEE

A Method for Coal Flow Foreign Object Detection and Mineral Semantic Segmentation Based on the Lightweight Multitask Model PVDNet

Abstract: To address the separation of mineral semantic segmentation and foreign object detection in coal mine conveyor belt detection, and the inability of traditional single-task models to balance ...