CVPR 2026 opened Friday in Denver with a record 16,092 submissions and 4,089 accepted papers — a 42% jump — as ...

Machine learning is capable of doing all sorts of things as long as you have the data to teach it how. That’s not always easy, and researchers are always looking for a way to add a bit of “common ...

The Air Force Research Laboratory is deepening its exploration of commercial computer vision, or technology that is essentially training digital systems to “see” the real world. Through a new ...

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 ...

The U.S. AI in Computer Vision Market is projected to grow from USD 7.10 Billion in 2025 to USD 72.30 Billion by 2035, at a CAGR of 26.13% during 2026-2035. The U.S. still emerges as one of the top ...

Future autonomous vehicle and other machine intelligence systems might not need line-of-sight to gather incredibly detailed image data: New research from Carnegie Mellon University, the University of ...

We are in the middle of a huge boom in artificial intelligence (AI), with unprecedented investment in research, a supercharged pace of innovation and sky-high expectations. But what is driving this ...

Apple is headed to Nashville next week, where it will showcase new computer vision research and run live technical demos at this year’s IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Addressing problems of bias in artificial intelligence, computer scientists have developed methods to obtain fairer data sets containing images of people. The researchers propose improvements to ...

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit ...

Steve is the Head of Data Science and AI at Australian Computer Society, a proactive social media contributor and LinkedIn influencer. Computers back in the day were good at understanding numbers yet ...