The Importance of Data in Building AI for Robotics

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They discuss the importance of data in building AI for robotics, using go as an example. They explain the concept of reinforcement learning and its application in chess, mentioning the need for more data in the field. They also discuss the limitations of data collection in robotics and the importance of high-quality data.

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Today’s show:

Covariant CEO Peter Chen joins Jason to discuss the future of AI in robotics (1:33), the key concepts of reinforcement learning (13:50), and much more!

Time stamps:

(0:00) Covariant CEO Peter Chen joins Jason

(1:33) AI’s role in robotics and its value in e-commerce warehouses

(7:38) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist

(8:59) Reinforcement learning today and the AlphaGo moment

(13:50) The 2 key concepts of reinforcement learning

(17:35) Approaches to accessing data for AI in robotics

(20:35) Robotics hardware

(22:50) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist

(23:57) Covariant's hardware and software in use

(27:32) The importance of adaptability

(32:40) LinkedIn Marketing - Get a $100 LinkedIn ad credit at https://linkedin.com/nextunicorn