Report Summarizes Machine Learning Study Findings from U.S. Geological Survey (U SGS) (Evaluation of the Lithium Resource In the Smackover Formation Brines of So uthern Arkansas Using Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Dec.13) ：82-82.

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Report Summarizes Machine Learning Study Findings from U.S. Geological Survey (U SGS) (Evaluation of the Lithium Resource In the Smackover Formation Brines of So uthern Arkansas Using Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Nashville, Tennessee , by NewsRx editors, research stated, “Global demand for lithium,the primary co mponent of lithium-ion batteries, greatly exceeds known supplies, and this imbal ance isexpected to increase as the world transitions away from fossil fuel ener gy sources. High concentrations oflithium in brines have been observed in the S mackover Formation in southern Arkansas (>400 milligramsper liter).”

Key words

Nashville/Tennessee/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/U.S. G eological Survey (USGS)

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出版年

2024

Robotics & Machine Learning Daily News

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