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.
Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505
Fairness and Robustness in Federated Learning with Virginia Smith -#504
Scaling AI at H&M Group with Errol Koolmeister - #503
Evolving AI Systems Gracefully with Stefano Soatto - #502
ML Innovation in Healthcare with Suchi Saria - #501
Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500
The Future of Human-Machine Interaction with Dan Bohus and Siddhartha Sen - #499
Vector Quantization for NN Compression with Julieta Martinez - #498
Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496
Advancing NLP with Project Debater w/ Noam Slonim - #495
Bringing AI Up to Speed with Autonomous Racing w/ Madhur Behl - #494
AI and Society: Past, Present and Future with Eric Horvitz - #493
Agile Applied AI Research with Parvez Ahammad - #492
Haptic Intelligence with Katherine J. Kuchenbecker - #491
Data Science on AWS with Chris Fregly and Antje Barth - #490
Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
Applied AI Research at AWS with Alex Smola - #487
Causal Models in Practice at Lyft with Sean Taylor - #486
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