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Opportunities and Challenges when Building AI for Autonomous Flight

Our Head of Machine Learning, David Haber, gave a talk at Open Data Science Conference (ODSC) in London on November 21st (https://odsc.com/training/portfolio/opportunities-and-challenges-when-building-ai-for-autonomous-flight/) and the same talk on Nov 23rd at the "ML in PL" conference in Warsaw (https://conference.mlinpl.org/#agenda). David's talk covers the specific challenges we encounter when building Neural Networks for Autonomous Flight: "How do you convince the regulators (and ultimately the public) that your model is robust to adversarial attacks? How do you prove that your training and testing datasets are exhaustive? How do you test edge cases when your input space is infinite and any mistake is potentially fatal?" (a citation from his abstract). David also discusses more general issues of building AI for safety-critical applications. Thanks to Alex Combessie, Data Science Lead at Dataiku, for the photo.