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.
Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
How Deep Learning has Revolutionized OCR with Cha Zhang - #416
Machine Learning for Food Delivery at Global Scale - #415
Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413
ML-Powered Language Learning at Duolingo with Burr Settles - #412
Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411
Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410
That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409
3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408
What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407
Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406
How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405
Machine Learning as a Software Engineering Discipline with Dillon Erb - #404
AI and the Responsible Data Economy with Dawn Song - #403
Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402
Model Explainability Forum - #401
What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400
Human-AI Collaboration for Creativity with Devi Parikh - #399
Neural Augmentation for Wireless Communication with Max Welling - #398
Create your
podcast in
minutes
It is Free
20/20
The Dropout
Ten Percent Happier with Dan Harris
World News Tonight with David Muir
NEJM This Week