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Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects
This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated content.
Short-term Load Forecasting with Dense Average Network
Therefore, improving the accuracy of power load forecasting has always been the pursuing goals for a power system.
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning
With Bayesian hyper-parameter optimization, the proposed approach can automate the workflow of machine learning.
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