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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Oct 16
The Scientists Growing Living Computers in Swiss Labs (Ep. 292)
Fred Jordan, Co-CEO of FinalSpark, takes us inside the radical world of biological computing, where real neurons extracted from human tissue are being trained to solve problems that would require 10 megawatts in silicon. We explore the life support systems keeping these "wetware" ... Show More
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Aug 2021
How NCR is Creating a Passive, Frictionless, Buying Experience with Tim Vanderham
<p>There are 750 million transactions processed every day. Let that number sink in… Across ATMs, self-checkout machines, and online payments, NCR — through both hardware and software infrastructure — is helping you checkout faster. We already have tap-to-pay credit cards and paym ... Show More
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Oct 2018
What The Future Looks Like Where Everyone, Not Just IT, Builds Applications
<p>On this episode of IT Visionaries, we welcome Zach Gray, Chief Technical Officer of MS Companies, an organization that provides workforce solutions to manufacturing companies to help increase their efficiency. </p> <p>Zach shares with us how he scaled innovation and applicatio ... Show More
16m 41s
Sep 2018
AI, Cloud Computing, and Leadership
<p>On today’s episode of IT Visionaries, we are joined by Japjit Tulsi, the CTO of Carta. In his 20 year career, Japjit has led engineering teams at Google, Microsoft, and eBay. He’s helped build products like Google Analytics and, most recently, ShopBot, eBay’s AI tool which com ... Show More
33m 33s