Interview
summary
Works on building autonomous and connected cars at General Motors and describes concrete uses: mapping for localization, ML models for passenger safety, sales personalization, and prognostics and diagnostics, all trained on large image and sensor datasets. Claims advantage comes from access to curated data and continuous new data collection for changing construction zones. Warns of a talent shortage and machine learning focus with a brain drain: 32 from Carnegie Mellon hired by Uber.
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