👉 Cho computing, or Cho computing, is a novel approach to artificial intelligence that focuses on the efficient and scalable deployment of machine learning models across diverse computing environments, from edge devices to large-scale data centers. Unlike traditional centralized AI systems, Cho computing emphasizes decentralized and distributed learning, enabling models to be trained and updated locally on various devices while maintaining privacy and reducing latency. This paradigm leverages techniques such as federated learning, where models are trained collaboratively across multiple devices without exchanging raw data, and model compression to minimize resource usage. By optimizing for both performance and energy efficiency, Cho computing aims to democratize AI, making advanced machine learning accessible and practical for a wide range of applications and devices, from smartphones to IoT sensors.
