According to @godofprompt, Osaka University has developed MicroAdapt, an edge AI technology that enables real-time learning and model updates directly on tiny devices like a $50 Raspberry Pi 4, requiring no cloud or GPU support (source: https://twitter.com/godofprompt/status/1984996345363484834). MicroAdapt achieves speeds up to 100,000 times faster than conventional deep learning methods and delivers 60% more accurate predictions while operating on less than 2GB of memory and 1.69 watts of power. Unlike traditional edge AI, which deploys static models trained in the cloud, MicroAdapt continuously evolves by breaking data into patterns and using multiple simple models that self-update on-device. This approach eliminates the need for data transfer, enhances privacy, and reduces operational costs. MicroAdapt has already been presented at KDD 2025 and is undergoing industry testing in manufacturing, automotive, and healthcare sectors, indicating significant business opportunities for scalable, self-improving AI solutions at the edge.