Forbes contributors publish independent expert analyses and insights. I write about the big picture of artificial intelligence. This article is more than 4 years old. The ability to automate human ...

Computer vision has been around for decades, but in recent years, this technology has been advancing by leaps and bounds. Computer vision is an application of artificial intelligence (AI) that's able ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...

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 tries to replicate human perception and associated brain functions to acquire, process, analyze, understand, and then act on an image. But replicating this process is extremely ...

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 ...

Welcome to TNW’s beginner’s guide to AI. This (currently) four part feature should provide you with a very basic understanding of what AI is, what it can do, and how it works. The guide contains ...

Accelerating the drug discovery and development process, Bioelectronica has developed Hypercell, a digital biochemistry integrated single-cell identification and sorting system offering superior ...

The average inventory accuracy rate is 83%, and while that seems like a fairly high number, the missing 17% can have a considerable impact on retailers. To best serve customers, it’s crucial to ...

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, ...

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.