Professors Emma Alexander, Manling Li, Han Liu, Marcelo Worsley, and their students represented Northwestern CS at CVPR 2026 ...

As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

In 2012, a groundbreaking computer program named AlexNet dramatically advanced machine vision. This system, utilizing ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...

For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...