Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF

Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively ...
IEEE

Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks

Abstract: Distributed computing has been widely applied in distributed edge networks for reducing the processing burden of high-dimensional data centralization, where a high-dimensional computational ...
IEEE

Co-Optimization of Resource Allocation and Operation in Large-Scale Energy Systems: Part I—Parallel-Distributed Theory

Abstract: Integrated resource allocation across heterogeneous operators is imperative to achieve globally optimal planning in large-scale energy systems, yet faces fundamental barriers of ...