AI’s revolution lies in the integration of automation, big data, computer vision and deep learning, forming the essential ABCD pillars that are reshaping lives.

Zebra Technologies’ Andrew Zosel discusses how AI and deep learning tools help expand machine vision capabilities, particularly in inspection system applications.

Deep learning hasn't (yet) rendered classical computer vision obsolete. Why some challenges are still best solved with traditional algorithms.

Machine learning is driving a revolution in vision-based IoT applications, but new research combining classic computer vision with deep learning shows significantly better results.

In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.

Hand in hand with the general thrust to push more Artificial Intelligence (AI) into our lives is the drive to give computers the ability to ‘see’ what’s happening in the world around them.

Microsoft researchers claim in a recently published paper that they have developed the first computer system capable of outperforming humans on a popular benchmark. While it’s estimated that ...

Today, teams using computer-vision hardware and software algorithms coupled with deep learning are seeing success in identifying objects.