In this episode of our AI For the Benefit of Society with Microsoft series, we’re joined by Lucas Joppa and Zach Parisa.
Lucas is the Chief Environmental Officer at Microsoft, spearheading their 5 year, $50 million AI for Earth commitment, which seeks to apply machine learning and AI across four key environmental areas: agriculture, water, biodiversity, and climate change. Zack is Co-founder and president of SilviaTerra, a Microsoft AI for Earth grantee whose mission is to help people use modern data sources to better manage forest habitats and ecosystems.
In our conversation we discuss the ways that machine learning and AI can be used to advance our understanding of forests and other ecosystems and support conservation efforts. We discuss how SilviaTerra uses computer vision and data from a wide array of sensors like LIDAR, combined with AI, to yield more detailed small-area estimates of the various species in our forests. We also briefly discuss another AI for Earth project, WildMe, a computer vision based wildlife conservation project we discussed with Jason Holmberg back on episode 166.
The complete show notes for this episode can be found at https://twimlai.com/talk/288. To follow along with the entire AI for the Benefit of Society series, visit https://twimlai.com/ai4society.
We’d like to thank Microsoft for their support and their sponsorship of this series. Microsoft is committed to ensuring the responsible development and use of AI and is empowering people around the world with intelligent technology to help solve previously intractable societal challenges spanning sustainability, accessibility and humanitarian action. Learn more at https://Microsoft.ai.
Advancing Machine Learning at Capital One with Dave Castillo - #328
Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327
Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326
Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325
Automated Model Tuning with SigOpt - #324
Automated Machine Learning with Erez Barak - #323
Responsible AI in Practice with Sarah Bird - #322
Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321
DevOps for ML with Dotscience - #320
Building an Autonomous Knowledge Graph with Mike Tung - #319
The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318
Spiking Neural Networks: A Primer with Terrence Sejnowski - #317
Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
Machine Learning at GitHub with Omoju Miller - #313
Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312
Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311
Live from TWIMLcon! Operationalizing Responsible AI - #310
Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309
Create your
podcast in
minutes
It is Free
20/20
The Dropout
10% Happier with Dan Harris
World News Tonight with David Muir
NEJM This Week