Aadit Patel is an incredibly smart, talented, driven, and kind person - a pilot, an Aerospace Engineer, a Software Engineer, and a leader in the field of Machine Learning. In this episode, we discuss Aadit's Aerospace background and his experience at NASA and Boeing, his pivot to Computer Science and Machine Learning, how Aadit is using Machine Learning to shape and accelerate the future of sustainable food through his leadership at The Not Company, and the state and future of Machine Learning within the context of society and industry. Some Timestamps:
(00:43) Intro
(02:40) Aadit's background and interest in aviation
(05:22) CubSATs, NASA, and the Startup Environment
(09:15) Aadit's Internship at NASA's Jet Propulsion Laboratory, and his mentor at the JPL
(16:55) Pivoting from Aerospace Engineering to Computer Science - Aadit's time at Boeing
(27:00) The Not Company - revolutionizing food with Machine Learning
(35:00) Abstract Machine Thought - The Philosophy of Latent Spaces in Machine Learning
(39:35) Applying ML in the real world without the hype cycle: human-machine collaboration. Also, using Bayesian Optimization to accelerate experiments.
(45:25) Bleeding-edge ML Technologies: Transformers (including GPT3) and their limitations
(50:15) Frameworks for how to overcome the limitations of generative models. Also, Q-learning.
(55:28) The Future of Work and AI: a framework for the path to harmony and humility.
(1:02:22) Closing Thoughts, Book/Paper recommendations, and Outro
Relevant Links:
https://notco.com/us/
Get in touch and leave feedback:
richard.hausman@yale.edu
https://www.linkedin.com/in/richard-hausman-824035154/
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