Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Artificial intelligence is causing a stir in most industries, and construction is no different. Using smartphones or pole-mounted cameras, a computer application can acquire important information from ...

In 2022, the dominating segment for computer vision (CV) was quality assurance and inspection because of the rapid adoption of process automation in the manufacturing industry. One of the key benefits ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Artificial intelligence may be coming for many people’s jobs according to some Fortune 500 CEOs and Silicon Valley leaders – but AI computer vision technologies are not yet cheap enough to make them ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection. To ...

Computer vision has become commonplace across innumerable industries, but the methods of creating and controlling these visual AI models aren’t so easy. Viso is building a low/no-code end-to-end ...

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 ...