CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

This study, conducted on Lesser Egyptian Jerboas, used computer vision to accurately track behaviors and assess welfare Increased grooming behavior was strongly linked to alopecia (hair loss) in the ...

Objective: To evaluate the precision of a computer vision (CV) and augmented reality (AR) pipeline for orthodontic applications, specifically in direct bonding and temporary anchorage device (TAD) ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...

Computer-use agents (a.k.a. GUI agents) are vision-language models that observe the screen, ground UI elements, and execute bounded UI actions (click, type, scroll, key-combos) to complete tasks in ...

A warehouse manager showed me his "secret weapon": Excel. He was a wiz; he knew all the tricks. But I kept thinking this single Excel file was the only thing connecting a $2 million monthly operation ...

In a world characterized by rapidly shifting technology, it’s difficult to know which advancements are here for the long haul and which are fleeting. It’s even more difficult for companies to ...

Combining AI computer vision and digital twin technologies can significantly improve supply chain efficiency and resilience against disruptions (e.g., wars, tariffs, pandemics). Digital twins, virtual ...

Npj Digital Surgery invites submissions for a special collection on Computer Vision in Surgical Practice. As surgical technology evolves, computer vision emerges as a powerful tool to enhance ...