What if we borrowed from physics some theories that would interpret deep learning and machine learning in general?Here is a list of plausible ways to interpret our beloved ML models and understand why they works, or they don't.Enjoy the show!
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Dec 2017
Mercedes Benz Machine Learning Research
<p class="p1"><span class="s1">This episode features an interview with Rigel Smiroldo recorded at NIPS 2017 in Long Beach California.<span class="Apple-converted-space"> </span> We discuss data privacy, machine learning use cases, model deployment, and end-to-end machine learning ... Show More
27m 5s
Dec 2024
Adam Brown — Bubble universes, space elevators, & AdS/CFT
<p>Adam Brown is a founder and lead of BlueShift with is cracking maths and reasoning at Google DeepMind and a theoretical physicist at Stanford.</p><p>We discuss: destroying the light cone with vacuum decay, holographic principle, mining black holes, & what it would take to trai ... Show More
2h 43m
Aug 2024
AI that connects the digital and physical worlds | Anima Anandkumar
While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics," says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real worl ... Show More
12m 14s