Devices learning from each other? See it live this September at AI Summit in San Francisco!

  • Enable Scalability (decentralized AI enables IoT/devices to learn from each other)
  • Solve low-throughput and high-latency challenges (local AI models reduce latencies, lower power consumption)
  • Improve accuracy (have smarter models via aggregation of many local models)
  • Reduce training time (benefit from local training and already trained models in the neighborhood)
  • Lower the cost of training (bringing data from all devices is expensive)
  • Ensure privacy (sensitive data stays local).

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Co Founder @ byteLAKE | AI-accelerated CFD | AI for Chemical Industry, Paper Industry, Manufacturing | Industry 4.0

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Marcin Rojek

Marcin Rojek

Co Founder @ byteLAKE | AI-accelerated CFD | AI for Chemical Industry, Paper Industry, Manufacturing | Industry 4.0

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