AI models capable of running efficiently on edge devices need to be reduced in size and compute considerably, while maintaining similar reliable results. This process, often referred to as model ...

The combination of AI and edge computing is catalyzing this transformation, enabling cities to evolve into smarter, safer and ...

Relative to each technology’s first mass-market product launch, work adoption of generative AI has been as fast as the personal computer (PC), and overall adoption has been faster than either PCs or ...

Federated edge learning (FEEL) enables privacy-preserving model training through periodic communication between edge devices and the server. Unmanned Aerial Vehicle (UAV)-mounted edge devices are ...

Some of the applications in the field of machine learning and computer vision may require a higher level of privacy and security, better cost efficiency, offline operation, and greater scalability and ...

Two men in Aurora were fatally stabbed in separate incidents, prompting an investigation into a possible connection.

With the growing adoption of OpenCV and the increasing demand for computer vision workloads alongside NPUs in edge intelligence computing, we are introducing the ZSP5000—our next-generation DSP ...

Let’s walk through some key considerations when it comes to implementing computer vision in the retail environment.