Though living on the edge sounds like a potential recipe for high risk and disaster, these days the edge carries a less risky proposition for electronics systems. Driven by a desire for faster data ...

The move to process artificial intelligence (AI) workloads locally is beginning to reshape how security systems are designed and deployed. For video surveillance and analytics, in particular, ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

Image processing has evolved into a cornerstone of scientific and industrial applications, spanning from medical imaging to autonomous vehicles. A critical aspect of this field is edge-preserving ...

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...

In the world of electric (EV) and software-defined vehicles (SDV), a key challenge and opportunity besets original equipment manufacturers (OEM): that of effectively harnessing in-vehicle and silicon ...

The edge is a dynamic environment where data is created by a multitude of devices—sensors, cameras, IoT devices, and more. Managing and orchestrating applications across far-flung edge locations can ...

The rise of edge technology is transforming how data is processed and decisions are made, right where data is generated. Unlike traditional cloud computing, intelligent edge computing pushes ...

I feel that edge computing stocks should be on investors’ radar. We’re seeing rapid changes in how data is being transformed and processed, with edge computing stocks being vital players. Edge ...