New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Abstract: Joint optimization, which jointly optimizes compression and machine vision algorithms, is widely regarded as an effective strategy for enhancing compression performance in the field of ...

Machine vision is a collection of technologies that give automated equipment a high-level understanding of the immediate environment from images. Without machine vision software, digital images would ...

Interact Analysis expects AI software to grow at a much faster pace than that of traditional software libraries, promoting stronger growth within the machine vision market overall. The global Machine ...

Powerful and practical machine learning tools for machine vision applications are already available to everyone, even if you’re not a data scientist. It might come as a bit of a surprise, but machine ...

GlobalSpec recently had the opportunity to ask Szymon Chawarski, product line manager at Teledyne Vision Solutions, about the growing role of AI in machine vision systems and cameras. Chawarski is the ...

Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

Monitoring urban plant health traditionally requires extensive manual labor and botanical expertise, creating challenges for cities facing expanding green spaces, higher population densities, and ...