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.

On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...

Trees shape climate, biodiversity, rural livelihoods, and the global bioeconomy, yet many remain invisible to today’s large-scale monitoring systems. Most satellite products describe forests as broad ...

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 ...

A research team has presented a roadmap for developing an "artificial olfactory system" that detects odors like the human nose and analyzes them using artificial intelligence (AI) by leveraging ...

Abstract: With the accumulation and storage of remote sensing images in various satellite data centers, the rapid detection of objects of interest from large-scale remote sensing images is a current ...

Built from flexible, compliant materials, soft robots are gaining relevance for tasks ranging from minimally invasive surgery ...

A newly confirmed dwarf galaxy orbiting Andromeda contains so few stars that automated detection pipelines ignored it entirely — and that invisibility may be precisely what makes it scientifically ...

Earthquake sensors on the ocean floor were built to track tectonic plates, but scientists just discovered they have been ...

Routine' network updates aren't low-risk; modern systems are so interconnected that a tiny tweak can break hidden ...

Artificial intelligence (AI) is able to detect foreign materials and other defects in food products faster and with more ...