This post introduces a conceptual, plug-and-play predictive maintenance framework for wind farm management.
Every day, millions of New Yorkers rely on the MTA subway – a system so vast and complex that even small delays can ripple across the city. Trains arrive, depart and stall in an intricate rhythm that’s constantly shifting. Capturing that rhythm in real time and translating it into something
Reinforcement learning is a framework that allows AI systems to learn from experience and make decisions in dynamic environments. One way to explore its potential is by training an AI agent to play a video game in real time. This controlled environment demonstrates principles that apply to everyday business challenges.
