Computer Vision has the goal of extracting information from images. We will go over the major categories of tasks of Computer Vision and we will give examples of applications from each category. With ...

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

While machine vision has served its purpose, deep learning-enabled cameras will bring innovation to a sector that has never been more in need of breakthroughs.

But it’s getting there. Deep learning is responsible for recent advances in computer vision, speech recognition, natural language processing, and audio recognition.

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.

Complemented by deep learning, machine vision solutions have become a powerful tool for enhancing automated inspection capabilities.

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

Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors.