'Scarily accurate': Open-source AI engine predicts markets and public opinion using thousands of digital agents

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...
Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
IEEE

A Model-Free Deadbeat Predictive Current Control for PMSM Based on Adaptive Current Variation Components Considering Sampling Noise

Abstract: The performance of the conventional deadbeat predictive current control (DPCC) method heavily depends on the accuracy of the motor model. To overcome this problem, a model-free deadbeat ...
IEEE

Actor–Critic Model Predictive Control: Differentiable Optimization Meets Reinforcement Learning for Agile Flight

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...