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🛜 🪨 We developed machine-learning tools to automate and accelerate key, time-consuming parts of the USGS critical mineral assessment workflow. Resulting tools show promise in shrinking the assessment process to days compared to years using traditional methods.

DARPA

268,755 subscribers

13,345 views • 1 year ago •via X (Twitter)

Science & Technology News & Politics Education

Anya Rossi• Live Now

Private livecam show

5 Comments

electrickbob1 year ago

@USGS Noice

World Sports USA - Turf Experts4 years ago

Utilizing soil sensors for real time data can significantly improve management practices. Applying only the needed amount of irrigation and fertilizers, when necessary, leads to lower usages, cost savings, and a great step towards sustainability. Click to learn more!

Project Black Box1 year ago

@USGS We have instantaneous learning in regard to Ai learning! No more datasets, no more PyTorch. You have contacted us via formal channels. Feel free to DM we would love to speak with a program manager!

Corey M. Kimball1 year ago

@USGS Wuhoo! 🇺🇸

An Alias1 year ago

@USGS Have y'all yet opened a DoD/IC investigation into the NGO/private-sector actors siphoning money through DARPA programs and alleging to be DARPA agents over directed-energy comms?

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