Aerospace and Mechanical Insider on MSN

AI reinforcement learning tackles fusion plasma instabilities

The DIII-D National Fusion Facility in San Diego, operated by General Atomics, houses the largest and most advanced magnetic ...
SHALE Magazine

How the DOE’s Quantum Genesis Initiative Will Build a Fault-Tolerant Computer by 2028

The DOE's Quantum Genesis initiative timeline aims to deliver the first fault-tolerant quantum computer by 2028, a major move ...
IEEE

Adaptive Fuzzy Q-Learning Control Design and Application to Grid-Tied Nine-Level Packed E-Cell (PEC9) Inverter

Abstract: This letter applies a multiagent fuzzy Q-learning (FQL) algorithm, incorporated with a model-free nonlinear controller (MFNC), entitled FQL-MFNC for stabilized controlling of a recently ...
Frontiers

Deep reinforcement learning-based strategy for enhancing power grid resilience under earthquake disaster scenarios

Extreme events such as earthquakes can readily cause structural damage and operational disturbances in power grids, thereby weakening the system’s supply stability and recovery capability and posing ...
Frontiers

Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise

Electromagnetic brain imaging is the reconstruction of brain activity from non-invasive recordings of electroencephalography (EEG), magnetoencephalography (MEG), and also from invasive ones such as ...
Analytics Insight

Machine Learning Algorithms for Robotic Path Planning

These include such learning paradigms as Q-Learning and the Deep Q-Networks setups. Reinforcement Learning paradigms essentially aim at teaching robots to undertake certain actions that will be used ...
InfoWorld

The engines of AI: Machine learning algorithms explained

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...
IEEE

Energy Storage Arbitrage in Grid-Connected Micro-Grids Under Real-Time Market Price Uncertainty: A Double-Q Learning Approach

Abstract: Energy storage plays a significant role in improving the stability of distributed energy, improving power quality and peak regulation in the micro-grid system, which is of great significance ...