Drone Uses AI and 11,500 Crashes to Learn How to Fly
Analysis
The article highlights a fascinating application of AI in robotics. The use of a large number of simulated crashes to train the AI is a key aspect, suggesting a reinforcement learning approach. The title is concise and effectively conveys the core concept. The high number of crashes emphasizes the iterative and potentially costly nature of the learning process.
Key Takeaways
Reference
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