Google DeepMind has released a new vision-language-action (VLA) model, Gemini Robotics On-Device, that can operate robots locally, controlling their movements without requiring an Internet connection or the cloud. Google says the software provides “general-purpose dexterity and fast task adaptation,” building on the March release of the first Gemini Robotics VLA model, which brought “Gemini 2.0’s multimodal reasoning and real-world understanding into the physical world.” Since the model operates independent of a data network, it’s useful for latency sensitive applications as well as low or no connectivity environments. Google is also releasing a Gemini Robotics SDK for developers. Continue reading Google Gemini Robotics On-Device Controls Robots Locally

Google has quietly released the AI Edge Gallery app, which lets users download models and run them locally without Internet connectivity. Available for Android and eventually on iOS, the experimental app is hosted on GitHub where it can be downloaded for free. Users can find compatible models capable of running on-device, like Google’s Gemma 3n, and run them offline to do things like generate images, get answers to questions, and write and edit code using the processor of supported smartphones. While locally running models aren’t as powerful as their cloud counterparts, they offer more privacy and can sometimes be faster. Continue reading Google AI Edge Gallery App Runs Models Locally on Android