On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...
Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...
The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...
Abstract: Environment perception is an essential aspect of automated maritime vehicles, especially in high-traffic areas. In recent years, deep-learning-based object detection using LiDAR has been ...
Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
Those packages use GPU acceleration for DNN inference to estimate the pose of an object. The output prediction can be used by perception functions when fusing with the corresponding depth to provide ...
This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...
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