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AI Chronicles: Explainability Vs. Complexity

AI once again takes center stage in this week’s Fish Fry podcast! Johanna Pingel from MathWorks and I discuss the differences between complexity vs. explainability in artificial intelligence, how you will know if explainability is right for your application and how explainability will impact the future of AI. Also this week, I examine how AI could help predict extreme wildfire danger.

 

Click here to download this episode

 

Links for November 4, 2022

More information about MathWorks

Gwangju Institute of Science and Technology Researchers Design AI-based Model that Predicts Extreme Wildfire Danger (GIST)

Deep Learning Provides Substantial Improvements to County-Level Fire Weather Forecasting Over the Western United States (Journal of Advances in Modeling Earth Systems)

 

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Mark Papermaster, CTO – AMD

David Fried, CTO – Coventor

Dr. Steven LeBoeuf, President – Valencell

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Dan Goehl, Co-founder and Chief Business Officer – UltraSense Systems

Charlie Green, Chief Operating & Technical Officer – Powercast

 

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