As AI-accelerated workloads proliferate across edge environments—from smart cities to retail and industrial surveillance—choosing the right inference accelerator has become a mission-critical decision ...

A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

The machine vision systems market sees opportunities in zero-defect manufacturing, AI-integrated industrial imaging, and vision-guided robotics across sectors like automotive, semiconductor, logistics ...

Let’s review a few standout applications of emerging technology and see how companies should leverage them in the coming year.

Though AI hype dominates headlines, a collaboration between Norfolk Southern and Georgia Tech reveals how AI-powered inspection systems are identifying critical flaws that human inspectors and ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

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 ...

Teledyne DALSA has announced the launch of its new Tetra line scan camera family, designed for various machine vision applications. The Tetra series incorporates advanced multiline CMOS image sensor ...

Rail Vision Ltd. (NASDAQ:RVSN) shares rallied 20% after the rail safety technology provider revealed it has taken a 51% ...

What if you could bring the power of artificial intelligence into your hands without needing a PhD in computer science? Imagine a compact device that not only recognizes faces, tracks objects, and ...