Podcast S4/E04: José Manuel Nápoles — The chemistry of AI
José Manuel Nápoles Duarte, a physics professor and researcher at the University of Sonora in Mexico, shares his experience with machine learning.
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José Manuel Nápoles Duarte, a physics professor and researcher at the University of Sonora in Mexico, shares his experience with machine learning. We discuss the relationship between physics and AI, his work with Streamlit and the challenges of applying these tools day to day. We also examine expectations for artificial general intelligence and gather advice for people starting out.
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Contents
0:40-Introducing José Manuel Nápoles
3:25-How machine learning fits into your work
7:02-Was there a specific application that changed your vision?
12:30-Why do many physicists end up transitioning to AI?
16:15-What did you expect AI to achieve that has not happened?
17:40-In 10 years, what applications do you see for AI?
23:30 — How did you get started with Streamlit?
28:20-What challenges do you encounter in your daily life with machine learning?
31:00-What do you recommend for people starting out in machine learning?
33:35-Is artificial intelligence nothing more than “curve fitting”?
34:40-What are the prospects for artificial general intelligence?
40:10-What would you say to your younger self?
42:20-Who do you recommend we interview in the future?
Listen to more conversations on Spotify, Apple Podcasts or YouTube.
A story from the Saturdays.AI community. Originally published on Aug 10, 2022.
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