'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 ...
Frontiers

Water-Smart Hydroponics in Protected Cropping Systems: Microclimate Modeling, IoT and AI-Enabled Control, Digital Twins, and Circular Resource and Energy Strategies

BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...
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 ...
IEEE

Optimal Control of Voltage Forming Grid Inverters by Model Predictive Control and Reinforcement Learning

Abstract: Optimal control approaches, such as model predictive control (MPC) and reinforcement learning (RL), are promising for decentralized grid applications but face challenges related to model ...
Frontiers

Predictive and prospective control strategies of elite batters during interception tasks: coupling of perception and action

Intercepting fast-moving objects, such as during baseball batting, requires the seamless integration of visual perception and motor execution under severe temporal constraints. Although the critical ...