New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
IEEE

Human-in-the-loop Reinforcement Learning Method for Volt/Var Control in Active Distribution Network with Safe Operation Mechanism

Abstract: In recent years, distributed energy resources (DERs) in power systems have been increasingly integrated into the distribution network. DERs will improve the flexibility and economy of active ...
IEEE

Early MTS Forecasting for Dynamic Stock Prediction: A Double Q-Learning Ensemble Approach

Abstract: Multivariate time series (MTS) forecasting is a rapidly expanding field with diverse and futuristic applications. However, traditional statistical learning models need more prediction ...