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Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
IEEE3d
Multi-Agent Deep Reinforcement Learning Based Incentive Mechanism for Multi-Task Federated Edge Learning - IEEE Xplore
Federated edge learning (FEL) is capable of training large-scale machine learning models without exposing the raw data of edge devices (EDs). Considering that the learning performance heavily depends ...
Analytics Insight4d
How to Become an AI Developer: Skills, Projects & Career Tips
Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...
IEEE5d
Training Unity Machine Learning Agents using reinforcement learning method - IEEE Xplore
This study aims to provide research of Machine Learning tools combined with Unity platform, to develop several Machine Learning Agents in various environments using multiple environment configurations ...
Tech Xplore6d
Reinforcement learning for nuclear microreactor control
A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...