AI factories train intelligence, but Nordic deploys it – on device, at the edge, where the world happens," said Vegard Wollan, CEO at Nordic Semiconductor. “Edge AI is no longer optional – it’s the ...

The release marks a significant strategic pivot for Google DeepMind and the Google AI Developers team. While the industry continues to chase trillion-parameter scale in the cloud, FunctionGemma is a ...

A new technical paper titled “Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics” was ...

As you prepare for an evening of relaxation at home, you might ask your smartphone to play your favorite song or tell your home assistant to dim the lights. These tasks feel simple because they’re ...

The AI landscape is taking a dramatic turn, as small language and multimodal models are approaching the capabilities of larger, cloud-based systems. This acceleration reflects a broader shift toward ...

Meta’s latest release of the Llama 3.2 model marks a significant advancement in AI, particularly in edge computing and on-device AI. Llama 3.2 brings powerful generative AI capabilities to mobile ...

Edge artificial intelligence chipmaker Ambiq Micro Inc. took to the stage today at the 2026 Consumer Electronics Show in Las ...

Overview: Edge AI processes data locally, cutting latency, boosting security, and enabling real-time decisions without ...

‘Hey Google’ find me a suitable keyword spotting (KWS) model for edge devices. While voice control is essential for modern interfaces like Alexa, Siri, and Hey Google, building KWS models on edge ...

Large language models are powerful, but generally they require vast computing resources, which means they typically have to run on stacks of high-end GPUs in data centers. Now, startup Multiverse ...

Edge devices across multiple applications share common attack vectors. Security functionality must be designed in from the ...

Autonomy isn't free; rather, it's financed by sophisticated oversight systems that enable safe and reliable autonomous ...