is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision ...

Machine vision systems involve a combination of software and hardware, including a camera to capture an image and a computer to analyze it with dedicated algorithms. Those algorithms, termed neural ...

As machine vision systems improve via advances in chip technologies, easier to use software, and lower cost, IoT Analytics (a provider of market insights and business intelligence) took a look three ...

We are living in an age of turbocharged commerce and next-level consumer expectations. Customers will not hesitate to return a product that has a scratch or a food item past its expiration date.

Next-generation steering technologies for lidar are making machine vision cheaper and more portable. Janelle Shane describes how these advances could apply to autonomous vehicles Edge case: The real ...

The emerging role of dedicated vision processors. The different functions of a vision processor and a GPU. Some of the applications in which a vision processor can be appropriate. Systems that ...

Working on a machine vision project requires understanding each part of the system, including light sources, frame grabbers, and computers. Here is a primer on two essential machine-vision terms.

Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to “see” far more than just pixel data from sensors, and opening up new opportunities across ...

Dublin, Aug. 14, 2025 (GLOBE NEWSWIRE) -- The "Machine Vision - Company Evaluation Report, 2025" report has been added to ResearchAndMarkets.com's offering. The Machine Vision Companies Quadrant is a ...