Part 1 of this article series provided a detailed overview of a trigger-based vision system for embedded applications. It also delved into latency measurements of this swift response vision system ...

The emerging role of dedicated vision processors. The different functions of a vision processor and a GPU. Some of the applications in which a vision processor can be appropriate. Systems that ...

The explosion of AI workloads is redrawing the data center blueprint in real time. Models are larger, compute clusters are denser, and the pressure to deliver consistent performance is relentless.

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

As injuries persist despite strong safety programs, employers are turning to AI and computer vision to detect unseen risks, prevent incidents, and make safety a strategic advantage. Safety leaders ...

Ferroelectric quantum dots enable phototransistors that adapt to low light and store visual memory, supporting motion recognition and in-sensor learning in neuromorphic systems. (Nanowerk Spotlight) ...