Opportunities and Challenges when Building AI for Autonomous Flight – David Haber | ODSC Europe 2020
In this video, David describes the different stages of a typical machine-learning pipeline applied to make up design choices for neural network architectures, desirable properties for training and test datasets, model generalizability, and the way to protect ourselves against adversarial attacks. He then discusses the opportunities, challenges, and learning that may apply more generally when building AI for safety-critical applications in the future.
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