When designing computer vision technology, there's a real fork in the road as to whether a company should use facial data for ...

Two years ago, Microsoft announced Florence, an AI system that it pitched as a “complete rethinking” of modern computer vision models. Unlike most vision models at the time, Florence was both “unified ...

Artificial intelligence researchers at Meta Platforms Inc. said today that they’re hoping to democratize a key aspect of computer vision. It’s known as “segmentation,” which refers to the ability to ...

Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing ...

Artificial intelligence researchers from Meta Platforms Inc. say they’re making progress on the vision of its Chief AI Scientist Yann LeCun to develop a new architecture for machines that can learn ...

Stephen is an author at Android Police who covers how-to guides, features, and in-depth explainers on various topics. He joined the team in late 2021, bringing his strong technical background in ...

Meta has launched SAM 2, an advanced computer vision model that significantly improves real-time video segmentation and object detection. You can now enhance your video editing and analysis projects ...

Christoph Wagner is the CEO of Scanbot SDK, a software development company specializing in data capture software for mobile and web apps. Recent leaps in generative AI have demonstrated the disruptive ...

Nurses are the lifeblood of the healthcare system. But with unprecedented levels of burnout and staff shortages, many are exhausted. But the population is rapidly aging and patient acuity is rising.

Will artificial intelligence take our jobs? If you listen to Silicon Valley executives talking about the capabilities of today’s cutting edge AI systems, you might think the answer is “yes, and soon.” ...

Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model ...