Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Yuan Yuan is an Assistant Professor of Computer Science at Boston College. Previously, she was a postdoctoral research associate at MIT CSAIL. Before her time at MIT, she obtained her Ph.D. degree ...

Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, ...

A study into pattern-recognition among bees is a reminder that intelligent behavior doesn’t require a massive brain -- it ...

Computer vision could be a lot faster and better if we skip the concept of still frames and instead directly analyze the data stream from a camera. At least, that’s the theory that the newest ...

Computer vision has the ability to transform production and quality control and allow for greater efficiency and flexibility. While computer vision is implemented in the manufacturing and automation ...

We design, model, and build systems that combine sensors, displays, and novel optical elements to enable new functionality in cameras and displays for applications in medical, astronomical, and ...

Computer Vision (CV) is the field of research and category of applications concerned with teaching machines to see. It involves using AI algorithms to process visual information from cameras and ...

Artificial intelligence (AI) is a revolution that is changing how individuals live and work; it’s not just a technological development. There are fundamental building blocks for AI that outline its ...

Smart transportation is one of the fundamental components of smart cities. The integration of digital technologies with physical transport infrastructure will transform how people live, work and ...