Machine Learning Library

Machine learning libraries are software packages providing tools and algorithms for developing and deploying machine learning models. Current research emphasizes improving library efficiency across diverse hardware architectures (CPUs, GPUs, specialized AI processors), enhancing usability through intuitive interfaces and knowledge graph integration, and addressing challenges like algorithm selection, hyperparameter tuning, and ensuring fairness and privacy in model outputs. These advancements are crucial for accelerating research and development in various fields, from computational fluid dynamics and multiphase flow modeling to more efficient and trustworthy deployment of AI in sensitive applications.