A major open-source photo repository developed at N.C. State University could be a significant step forward in helping unlock artificial intelligence’s potential for solving stubborn agricultural ...

Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface content.

AI-powered vision systems are revolutionizing manufacturing quality control with lower costs, faster deployment and greater flexibility compared to traditional legacy machine vision systems. But ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. How do computers see the world? It’s ...

A booth demo highlights why the Cognex In-Sight 3800 makes quick work of executing inspection tasks on high-speed manufacturing lines.

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between aerial images of flowering and nonflowering grasses -- an advance that will ...

Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

As AI-accelerated workloads proliferate across edge environments—from smart cities to retail and industrial surveillance—choosing the right inference accelerator has become a mission-critical decision ...

This illustration shows how the "Pest-ID" tool developed by Iowa State researchers can help farmers identify and manage pests of all kinds. Image courtesy of Iowa State's Translational AI Center. Nine ...