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Alphabet transitions its navigation system for its fleet of Loon high-altitude balloons to one controlled by AI, a first for commercial aerospace systems

The company's new AI flight control system outperforms its human-made one  —  Alphabet's Loon, the team responsible for beaming internet …

The Verge Nick Statt

Discussion

  • @stratoballoon StratoCat on x
    “Drifting Efficiently Through the Stratosphere Using Deep Reinforcement Learning” Article by @salcandido on how Loon and Google AI achieved the world's first deployment of reinforcement learning in a production aerospace system https://medium.com/... https://twitter.com/...
  • @sigfpe @sigfpe on x
    Interesting to see how Loon does its station-keeping these days. My early prototype implementation used a form of reinforcement learning but not deep reinforcement learning like this. https://twitter.com/...
  • @loon4all Loon on x
    Today in the journal @nature we're outlining our work w/ @GoogleAI to develop a balloon navigation system using reinforcement learning. Together, we built a machine that is capable of building new navigation systems faster & better than we humans can. #AI https://medium.com/...
  • @micokoch lvaro J. Castro Rivadeneira on x
    Awed by my brother @pcastr and his collaborative publication in @nature. My layperson summary is: “computers that can fly hot air balloons really high up, better than humans AND using less energy.” https://www.nature.com/...
  • @emulenews Francis Villatoro on x
    #Nature Autonomous navigation of stratospheric balloons using reinforcement learning https://www.nature.com/... the controller outperforms previous algorithm and is robust to the natural diversity in stratospheric winds. RL is an effective solution to real-world control problems.