As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...

Those that lean into AI will need to balance small form factor, real-time responses and operation time, often tied to battery ...

With ARM supporting on-device AI processing, energy use drops versus data centers, so you get faster responses and lower ...

Nordic Semiconductor's new nRF54L Series SoC with NPU and Nordic Edge AI Lab make the on-device intelligence easily ...

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 ...

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 ...

What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...

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 ...

In the past decade, computer technology has followed a trajectory: faster processors in smaller machines that could handle an ...