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.

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

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 ...

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Orbbec presented industrial-grade 3D cameras for challenging automation scenarios, as well as AI integration for enhanced ...

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

At the Samsung Solve for Tomorrow reunion, young innovators showcased solutions like Tushar Shaw's AI glasses for the ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

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 ...

Researchers created an affordable pneumatic exoskeleton glove that uses machine learning to decode forearm muscle signals and ...

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 ...