Edge Computing AI News & Updates

Google Launches AI Edge Gallery App for Local Model Execution on Mobile Devices

Google has quietly released an experimental app called AI Edge Gallery that allows users to download and run AI models from Hugging Face directly on their Android phones without internet connectivity. The app enables local execution of various AI tasks including image generation, question answering, and code editing using models like Google's Gemma 3n. The app is currently in alpha and will soon be available for iOS, with performance varying based on device hardware and model size.

Microsoft Develops Efficient 1-Bit AI Model Capable of Running on Standard CPUs

Microsoft researchers have created BitNet b1.58 2B4T, the largest 1-bit AI model to date with 2 billion parameters trained on 4 trillion tokens. This highly efficient model can run on standard CPUs including Apple's M2, demonstrates competitive performance against similar-sized models from Meta, Google, and Alibaba, and operates at twice the speed while using significantly less memory.