👉 Weak computing, also known as near-machine learning or edge AI, refers to the deployment of machine learning models on devices with limited computational resources, such as smartphones, IoT devices, or embedded systems. Unlike traditional computing environments where powerful servers handle complex computations, weak computing aims to bring AI capabilities closer to the data source, reducing latency and bandwidth usage. These devices often have constrained processing power, memory, and energy resources, necessitating the use of lightweight algorithms and model compression techniques to ensure efficient and effective performance. This approach enables real-time decision-making and enhances privacy by processing data locally rather than sending it to centralized servers.
