“ Machine learning and artificial intelligence can provide impactful insights on large , complicated datasets – like those used to analyse geothermal energy ”
TECHNOLOGY
“ Machine learning and artificial intelligence can provide impactful insights on large , complicated datasets – like those used to analyse geothermal energy ”
KELLY SPEAKES-BACKMAN PRINCIPAL DEPUTY ASSISTANT SECRETARY , U . S . DEPARTMENT OF ENERGY ( DOE )
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These four projects , led by Los Alamos National Laboratory ( LANL ), Colorado School of Mines ( CSM ), University of Houston , and Penn State University , will build on previous work on machine learning algorithms and large geothermal datasets . Machine learning – the use of advanced algorithms to identify patterns in and make inferences from data – could assist in finding and developing new geothermal resources . If applied successfully , machine learning could lead to higher success rates in exploratory drilling , greater efficiency in plant operations , and ultimately lower costs for geothermal energy operators .
“ As evidenced by the progress made by these four teams over the past 18 months , geothermal developers will soon be the newest researchers able to use this cuttingedge technology in their chosen field .”
The surging number of applications being deployed on the cloud in several industries , rapid improvements being made in the internet of things ( IoT ) domain , advancements in numerous smart applications , and growing popularity of AI software are the major factors driving the expansion of the global edge AI software market . Due to these factors , the market generated $ 600 million in revenue in 2020 , and it is expected to exhibit huge expansion during 2021 – 2030 , according to P & S Intelligence . energydigital . com 97