ORNL’s AI Recommender System to Enhance Experimentation Performance
Oak Ridge National Laboratory has developed a human-artificial intelligence collaboration recommender system to improve how machine learning algorithms use data during experiments. The system uses a human-in-the-loop approach in identifying significant data sets for research and development. With the technology, researchers will be provided with data set suggestions based on their activities and the capability […]