Vancouver-based Intuitive AI creates a smarter way to sort garbage. Read on to find out more about their technology.Read More
Conservation Metrics, a recipient of Microsoft’s AI for Earth grant program, is using algorithms to analyze a corpus from Cornell University Lab of Ornithology’s Elephant Listening Project, which collects data from acoustic sensors embedded throughout Nouabalé-Ndoki National Park and adjacent logging areas in the Republic of Congo.Read More
Computer scientists at the University of California San Diego have released a new version of a software system that processes images from the world's coral reefs anywhere between 10 to 100 times faster than processing the data by hand.Read More
Find out more about Mark Crowley's work on using machine learning to improve forest wildfire managementRead More
An afternoon of sessions dedicated to exploring the impact of AI on the environment and sustainability across the globe. This stage will present recent work from researchers, industry professionals and policy-makers.
The stage will provide the chance to learn, share your own learnings, make new connections, and to build a vision for inspiring the next generation. Sessions include 'Using Machine Learning to Improve Forest Wildfire Management' and 'Is it Time for an Ethics code for AI for the Earth?'
In addition to the vast networking opportunities with fellow attendees exploring the Deep Learning Summit, the AI for Environment & Sustainability Stage will offer a unique opportunity to connect with professionals through focused, progressive discussions.
This stage will offer you the opportunity to get involved in thought-provoking discussions, make new connections, and collaborate with others. Sessions will vary in format, involving roundtable discussions, Q&As, panel discussions, and more.