AI tool beats humans at detecting parasites in stool samples

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in ...
Deep Learning with Yacine on MSNOpinion

What Are 1x1 Convolutions in Deep Learning – Explained Simply

Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...
TMCnet

Journal of Clinical Microbiology Publishes Article on ARUP's Validation of AI for Parasite Detection

SALT LAKE CITY, Oct. 21, 2025 /PRNewswire/ -- ARUP Laboratories today announced the publication of an article in the Journal ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...