Cattle identification is emerging as a pivotal aspect of precision livestock farming, with deep learning and computer vision offering robust, non-contact solutions to traditional tagging methods. By ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Improve model performance and training stability using multilayer perceptrons (MLPs) and applying normalization techniques. Implement autoencoders for unsupervised feature learning and design ...

PhD candidate Khadija Iddrisu discusses the challenge of ‘motion blur’ in computer-vision research and how the tech benefits the sports, medicine and driving sectors. Khadija Iddrisu is in the early ...

Machine learning (ML) and computer vision (CV) technologies are vital branches of artificial intelligence (AI) that help automate tasks and increase efficiency across industries. Experts predict that ...

LINCOLNSHIRE, Ill.--(BUSINESS WIRE)-- Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today ...

Tom Hughes, a 2023 graduate of the MSc Machine Learning for Visual Data Analytics programme at Queen Mary University, successfully transitioned from a background in data engineering to a career in ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

RIT’s Computer Engineering BS – AI Option builds hardware–software expertise and AI skills in generative AI, deep learning, and neuromorphic computing. The Computer Engineering BS – AI Option at RIT ...