Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

AI is revolutionizing flood victim searches by rapidly scanning drone imagery to pinpoint debris that may hide bodies, ...

It might seem like an obvious move to deploy drones to help look for flood victims, but floods pose unique challenges that stymie the technology.

The increase in precision agriculture has promoted the development of picking robot technology, and the visual recognition ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

While AI algorithms may take the spotlight in machine vision, optical systems are the ones that facilitate data for AI models.

To address the issue of low accuracy and poor robustness of perceptual learning in complex scenarios, a new method integrating computer vision and machine learning is adopted, that is, by applying ...

Thanks to the latest advances in deep learning techniques, frameworks, and algorithms, it's now possible to build, train, and evaluate visual recognition systems on real-world datasets. This is Deep ...

Two of the main benefits to AI-enabled machine vision are deep learning for complex tasks and transfer learning. AI-enabled vision systems combine industrial 3D cameras, computer vision software and ...

How a stubborn computer scientist accidentally launched the deep learning boom "You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li.

Although adopting new technologies like computer vision and machine learning presents several challenges, they can bring long-scale improvements that automate manufacturing processes.