By embracing the principles of localized intelligence and real-time AI processing, organizations across sectors can achieve ...

While most AI models require heavy cloud-based infrastructure for processing, Llama 3.2’s lightweight models (1B and 3B parameters) are specifically designed for deployment on edge devices ...

It can be done, but it requires the edge device vendor to work to optimize the model. A hybrid approach can also extend the applicability of LLMs by combining Cloud and Edge processing. When most ...

Google DeepMind has officially launched Gemma 3n, the latest version of its lightweight generative AI model designed ...

With mobile devices increasingly expected to run sophisticated AI workloads natively, models like Hyena Edge could set a new baseline for what edge-optimized AI can achieve. Hyena Edge’s success ...

Google has launched AI Edge Gallery, an open-source platform that enables developers to run advanced AI models directly on Android devices, with iOS support planned for a future release. Released ...

W eb developers will be able to start leveraging on-device AI in Microsoft’s Edge browser soon, using new APIs that can give their web apps access to Microsoft’s Phi-4-mini model, the company ...

Humanoid robots, smart devices, and autonomous driving are often cited lucrative business use cases at the edge. But edge AI computing will liberate AI from data centers and centralized servers in ...

You can test this new ‘enhanced search’ feature in beta versions of Edge.