NXP Semiconductors (NasdaqGS:NXPI) announced the i.MX 93W applications processor, described as the industry's first chip to combine AI neural processing with secure tri radio wireless connectivity.

A small fanless system runs edge tasks, connects devices, processes data near source, and fits tight spaces. Built for use in ...

Edge AI is moving onto devices to cut costs and improve response times, shifting IoT systems toward local processing.

Keeping endpoint IoT devices is still an uphill battle for many IT departments, and cybercriminals know it. How can you protect your edge? Image: Ar_TH/Adobe Stock For the past five years, pundits ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

Alibaba released Qwen 3.5 Small models for local AI; sizes span 0.8B to 9B parameters, supporting offline use on edge devices.

With IoT botnets continuing to cause problems and attacks on critical infrastructure an ongoing menace, Microsoft has conducted research to find out whether edge network devices are a threat to ...

Microsoft is expanding a certification program to improve the security of Internet of Things (IoT) devices. Microsoft's secured-core concept first aimed to improve the security of software interfaces ...

Digitalization in today’s global economy has become a necessity for modern manufacturing facilities. When running IIoT (industrial Internet of Things) applications, most—if not all—data needs to be ...

The Internet of Things edge refers to the part of an IoT architecture that is closest to the end devices or sensors that collect data. In simple terms, it is the point where devices and data meet.