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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.

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DARPA

268,755 subscribers

13,345 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 5

Фото профиля electrickbob
electrickbob1 год назад

@USGS Noice

Фото профиля World Sports USA - Turf Experts
World Sports USA - Turf Experts4 лет назад

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!

Фото профиля Project Black Box
Project Black Box1 год назад

@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!

Фото профиля Corey M. Kimball
Corey M. Kimball1 год назад

@USGS Wuhoo! 🇺🇸

Фото профиля An Alias
An Alias1 год назад

@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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