Today we begin our coverage of the 2019 NeurIPS conference with Celeste Kidd, Assistant Professor of Psychology at UC Berkeley.
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Celeste, who leads the Kidd Lab, is focused on the research of understanding “how people come to know what they know.” In our conversation, we discuss her invited talk “How to Know,” which details research coming from her lab about the core cognitive systems people use to guide their learning about the world. We explore why people are curious about some things but not others, and how our past experiences and existing knowledge shape our future interests, why people believe what they believe, and how these beliefs are influenced in one direction or another, and how machine learning figures into this equation.
Thanks to our sponsor!
Thanks to our friends at Shell for their support of the podcast and their sponsorship of the NeurIPS 2019 series.
Shell has been an early adopter of a wide variety of AI technologies to support use cases across retail, trading, new energies, refineries, exploration, and many more, and is doing some really interesting things, but don’t take it from me.
Microsoft CEO Satya Nadella recently noted that “What’s happening at Shell is pretty amazing. They have a very deliberate strategy of using AI, right across their operation… from the drilling operations to safety.”
Last year the company established the Shell.ai Residency Programme, a 2 year, full-time program that allows data scientists and AI engineers to gain experience working on a variety of AI projects across all Shell businesses. If this interests you, I’d encourage you to hit pause and head over to shell.ai to learn more.
Mentioned in the Interview
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“More On That Later” by Lee Rosevere licensed under CC By 4.0