Meeting summaries and links in reverse chronological order.
2019 September 10 - An Application of Google’s Tensorflow for a Cannabis Production Inventory in Northern California
- Speaker: Daryl Van Dyke, spatial analyst for the USFWS.
- Recording for 2019-09-10
2019 August 13 - Continuous streamflow and nearshore wave monitoring from time-lapse cameras using deep neural networks.
- Daniel Buscombe (Northern Arizona University) described a proof-of-concept study into designing and implementing a single deep learning framework that can be used for both stream gaging and wave gauging from appropriate time-series of imagery.
- Recording for 2019-08-13 Part 1
- Recording for 2019-08-13 Part 2
2019 June 11 - Strategic Science Planning at USGS
- Pete Doucette provided a review of recent Strategic Science Planning at USGS. This included thoughts captured from the 21st Century Science Update
Workshop at NCTC, and the CDI Workshop in Boulder, CO, held May and June 2019. - Recording for 2019-06-11
2019 May 14 - XGBoost in Continuous Change Detection and Classification (CCDC); Deep learning to quantify benthic habitat
- Announcements (Pete Doucette)
- Pete and other members of an AI/ML focus group presented to the USGS Executive Leadership Team at the end of March. Associate Directors are enthusiastic about incorporating AI/ML into their mission area research.
- Don't forget the CDI workshop is happening June 4-7, 2019 in Boulder Colorado, tomorrow, May 15 is the last day for registration. Virtual participation links will be posted on the Workshop Page by the week before the workshop.
- The AI/ML group leads are still interested in collecting an inventory of your AI/ML projects to share with interested USGS leadership. You can fill out the form here.
- XGBoost in Continuous Change Detection and Classification (CCDC) - Chris Barber, USGS EROS
- Deep learning to quantify benthic habitat - Peter Esselman, USGS Great Lakes Science Center
- Recording for 2019-05-14
2019 April 9 - no meeting
2019 March 12 - Infrastructure for Deep Learning at the USGS; AI for Ecosystem Services
Jeff Falgout presented on Tallgrass, a new machine for AI at the USGS
Ken Bagstad presented on AI for integrated environmental modeling & forecasting (+ overview of AI for Ecosystem Services)
JC pointed out some activity on the AI/ML forum and encouraged members to post
Group leads reminded members to contribute to a spreadsheet for collecting USGS AI/ML project descriptions to communicate to USGS leadership
2019 February 12 - Innovation Center Opportunities and AI and Land Imaging
John Stock talked about opportunities at the USGS Innovation Center related to AI/ML, including postdoctoral positions
Pete Doucette gave a presentation “Ruminations on AI and Land Imaging,” covering some background to artificial intelligence and machine learning, relevant Landsat and Analysis Ready Data activities at the USGS, and the importance of team science
See February CDI collaboration area blog post that summarizes the call
Group leads asked members to contribute to a spreadsheet for collecting USGS AI/ML project descriptions to communicate to USGS leadership
2018 December 11 - Inaugural Meeting
Introduction to the group by Tim Quinn, Chief, Office of Enterprise Information
Introduction to the wiki space and AI/ML forum, JC Nelson
Comments from attendees, including mention of dl_tools toolbox for deep learning, an output from a recent CDI funded project
Overview
Community Forums
Content Tools
Tasks