
Alex Kendall: On Driving Wayve From The Garage Onto City Streets
Tech Unheard
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Deep Learning's Impact on Autonomous Driving
This chapter reflects on the speaker's journey and the significant realization in 2017 regarding deep learning's capabilities for autonomous driving. It discusses the challenges of processing vast sensory data and the critical advancements needed in AI, robotics, and infrastructure. The dialogue emphasizes the integration of diverse data sources, the complexities of training models, and the potential for widespread adoption of autonomous vehicles in everyday life.
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