Tracking CO2 Emissions with Machine Learning with Laurence Watson

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Today we’re joined by Laurence Watson, Co-Founder and CTO of Plentiful Energy and a former data scientist at Carbon Tracker.

Late last year, Carbon Tracker, who uses machine learning to do in-depth analysis on the impact of various high-cost, carbon-intensive energy sources, released their report “Nowhere to hide: Using satellite imagery to estimate the utilisation of fossil fuel power plants”. In our conversation, Laurence details the report, which uses computer vision to process satellite images of coal plants, including how they labeled the images, and various challenges with the scope and scale of this project, including dealing with varied time zones and imbalanced training classes.

You are invited to join us for the very first TWIMLcon conference, which will focus on the tools, technologies, and practices necessary to scale the delivery of machine learning and AI in the enterprise. The event will be held October 1st & 2nd in San Francisco and early bird registration is open today at twimlcon.com.

About Laurence

Mentioned in the Interview

“More On That Later” by Lee Rosevere licensed under CC By 4.0

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