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Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277

Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277

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


Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277

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

ratings:
Length:
42 minutes
Released:
Jun 24, 2019
Format:
Podcast episode

Description

Today we’re joined by Laurence Watson, Co-Founder and CTO of Plentiful Energy and a former data scientist at Carbon Tracker. In our conversation, we discuss: • Carbon Tracker's goals, and their report “Nowhere to hide: Using satellite imagery to estimate the utilisation of fossil fuel power plants”. • How they're using computer vision to process satellite images of coal plants, including how the images are labeled •Various challenges with the scope and scale of this project, including dealing with varied time zones and imbalanced training classes. The complete show notes can be found at twimlai.com/talk/277. Visit twimlcon.com to learn more about the TWIMLcon: AI Platforms conference! Early-bird registration ends on 6/28!
Released:
Jun 24, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.