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 ...

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 ...

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 ...

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

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

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 ...

Overview: Edge AI devices prioritize local inference to ensure user data remains stored on the physical hardware instead of ...

‘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 ...

You can think of Physical AI as the fusion of today’s generative AI and other foundation models with sensors, actuators and ...