The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especially regarding finding locations for viable EGS sites. This submission includes the appendices and reports formerly attached to the Geothermal Exploration Artificial Intelligence Quarterly and Final Reports. The appendices below include methodologies, results, and some data regarding what was used to train the Geothermal Exploration AI. The methodology reports explain how specific anomaly detection modes were selected for use with the Geo Exploration AI. This also includes how the detection mode is useful for finding geothermal sites. Some methodology reports also include small amounts of code. Results from these reports explain the accuracy of methods used for the selected sites (Brady Desert Peak and Salton Sea). Data from these detection modes can be found in some of the reports, such as the Mineral Markers Maps, but most of the raw data is included the DOE Database which includes Brady, Desert Peak, and Salton Sea Geothermal Sites.

No Alaska natural gas can physically cross the border into Canada without a handful of government agencies - in the United States and Canada - blessing the event. But getting government permission for the gas itself to leave Alaska and enter Canada on its way to Lower 48 markets will be a relative snap compared to the years-long ordeal to sanction construction of the proposed multibillion-dollar natural gas pipeline from Alaska's North Slope. It's like the difference between issuing a hall pass to the school nurse's office vs. actually building the school.

Outline of Hawaiian islands (Kauai, Oahu, Molokai, Kahoolawe, Lanai, Maui, Hawaii) generated from the Geologic Map of the State of Hawaii published by the USGS in 2007.