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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.
13,345 Aufrufe • vor 1 Jahr •via X (Twitter)
5 Kommentare

electrickbobvor 1 Jahr
@USGS Noice

World Sports USA - Turf Expertsvor 4 Jahren
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 Boxvor 1 Jahr
@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. Kimballvor 1 Jahr
@USGS Wuhoo! 🇺🇸

An Aliasvor 1 Jahr
@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?

