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

Loss prevention is a powerful use case for artificial intelligence in retail, experts said at the NRF 2026 retail conference ...

Raspberry Pi sent me a sample of their AI HAT+ 2 generative AI accelerator based on Hailo-10H for review. The 40 TOPS AI ...

Industry-focused artificial intelligence, growing adoption of agentic systems and edge AI, “born in the AI era” cyberattacks ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

[Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a challenge, decided to add a number of scratch-built improvements and ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new problem for AI to tackle in 2026. Opinion I have followed computer vision and ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Copilot’s limitations are ever-present, and it can lead you astray on even the basics. If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a reviewer ...

Abstract: Modern railways continue to strive for remote and automated methods to improve the visual inspection procedures for their assets. In some cases, these inspections provide new information ...