Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

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

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 ...

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

From IoT and robotics to industrial automation and smart devices, AI is fundamentally changing how machines operate. But one of the biggest hurdles to widespread adoption has always been the ...

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

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

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

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 ...