Across the tech ecosystem, organizations are coalescing around a shared vision: The smarter future of AI lies at the edge.

What’s more, many of these devices, from fridges to fans, now come equipped with AI accelerators tucked into their chipsets.

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 ...

Here’s how runtime solutions help developers implement AI frameworks on the edge while boosting performance and energy ...

Edge artificial intelligence chipmaker Ambiq Micro Inc. is looking to raise up to $85 million from investors through an initial public offering that’s expected to price before the end of the month.

This two-part series examines how AI edge computing is revolutionizing real-time physical security, with Part 1 spotlighting ...

AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.

Analog Devices and Antmicro have released AutoML for Embedded, a tool that simplifies AI deployment on edge devices.

A curated hub for on-device AI Google’s AI Edge Gallery is built on LiteRT (formerly TensorFlow Lite) and MediaPipe, optimized for running AI on resource-constrained devices. It supports open ...

Samsung has launched the AI-powered Galaxy Book4 Edge in India, revolutionizing personal computing. Priced at INR 59,990, it ...

Speaking to investors during Thursday's earnings call, Tim Cook didn't appear worried that advancements in AI could replace ...