HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.
Abstract: Object recognition and grasping position detection are critical tasks in robotic manipulation, particularly when operating in dynamic and unstructured environments. This paper presents the ...
Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...
Abstract: Object detection is the identification and pinpointing of the exact location of objects that belong to particular categories inside an image. However, insufficient annotated data in ...
Loads the trained Faster R-CNN model. Reads the input video frame by frame. For frames with weapons detected above a confidence threshold, saves the frame to a folder. Names the frames with the ...
A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...
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