Alibaba released Qwen 3.5 Small models for local AI; sizes span 0.8B to 9B parameters, supporting offline use on edge devices.

Alibaba Qwen 3.5 Small models run offline on phones and laptops; 0.8B and 2B sizes, with mixed reliability on hard tasks.

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 ...

Over 40 AI models lightweighted and optimized across more than 100 devices; technologies adopted by global leaders including ...

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 ...

New application enables advanced AI models to run directly on-device without internet connection or cloud dependency ...

RunAnywhere provides a production-ready SDK that enables enterprises to bypass expensive cloud APIs by running AI models directly on edge devices.

The development board runs AI on the device using two processors. It supports voice, vision, and robot control. Find out more!

Semiconductor and embedded processor maker Texas Instruments Inc. today announced the launch of new microcontrollers with TinyEngine neural processors. The company said it’s int ...

‘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 ...

French AI startup Mistral has released its first generative AI models designed to be run on edge devices, like laptops and phones. The new family of models, which Mistral is calling “Les Ministraux,” ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully developed a "self-evolving" edge AI technology that enables real-time learning and ...