Using Deep Learning to Predict Wildfires with Feng Yan

EPISODE 329
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Banner Image: Feng Yan - Podcast Interview
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About this Episode

Today we're joined by Feng Yan, Assistant Professor at the University of Nevada, Reno.

Feng led a session at re:Invent on ALERTWildfire, a camera-based network infrastructure that captures satellite imagery of wildfires. ALERTWildfire was built to serve a few purposes, including the discovery of wildfires, the ability to scale resources accordingly, monitoring the behavior of said fires, assist in evacuations, and ensure contained fires are thoroughly monitored until completely put out. In our conversation, Feng details the development of the machine learning models and surrounding infrastructure used in ALERTWildfire. We also talk through problem formulation, challenges with using camera and satellite data in this use case, and how he has combined the use of Infra-as-a-Service and Function-as-a-Service tools for cost-effectiveness and scalability.

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Thanks to our sponsor Capital One

Capital One Financial Corporation (www.capitalone.com) is a financial holding company whose subsidiaries, which include Capital One, N.A., and Capital One Bank (USA), N.A., had $305.9 billion in deposits and $425.4 billion in total assets as of September 30, 2021. Headquartered in McLean, Virginia, Capital One offers a broad spectrum of financial products and services to consumers, small businesses and commercial clients through a variety of channels. Capital One, N.A. has branches located primarily in New York, Louisiana, Texas, Maryland, Virginia, New Jersey and the District of Columbia. A Fortune 500 company, Capital One trades on the New York Stock Exchange under the symbol "COF" and is included in the S&P 100 index.
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