Overview of Sample-Based MPC (Sample-Based MPC) and examples of algorithms and implementations
Sample-Based MPC (Sample-Based MPC) Overview
Sample-Based Model Predictive Control (Sample-Based MPC) is a ty...
分散並列処理
Overview of Federated Learning and various algorithms and implementation examples
Federated Learning
Federated Learning is a new approach to training machine learning models that addresses th...
Overview of parallel distributed processing in machine learning and examples of on-prem/cloud implementations
Parallel and Distributed Processing in Machine Learning
Parallel and distributed processing in machine learni...
Overview of Petri-net technology and its combination with artificial intelligence technology and various implementations
Petri Net Overview
Petri nets are a descriptive model of discrete event systems proposed by Petri in 1962...
Parallel and Distributed Processing in Machine Learning
Parallel and Distributed Processing in Machine Learning
The learning process of machine learning requires hi...