To speed up low-carbon energy transition, MIT scientists have created a new digital twin system called MFRNet for industrial biomass combustion ...
Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...
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Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...