首页|Data from University of Tasmania Broaden Understanding of Artificial Intelligenc e (Artificial intelligence investments reduce risks to critical mineral supply)
Data from University of Tasmania Broaden Understanding of Artificial Intelligenc e (Artificial intelligence investments reduce risks to critical mineral supply)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news originating from the Universit y of Tasmania by NewsRx correspondents, research stated, "This paper employs ins ights from earth science on the financial risk of project developments to presen t an economic theory of critical minerals." Our news journalists obtained a quote from the research from University of Tasma nia: "Our theory posits that back-ended critical mineral projects that have unad dressed technical and non-technical barriers, such as those involving lithium an d cobalt, exhibit an additional risk for investors which we term the ‘back-ended risk premium'. We show that the back-ended risk premium increases the cost of c apital and, therefore, has the potential to reduce investment in the sector. We posit that the back-ended risk premium may also reduce the gains in productivity expected from artificial intelligence (AI) technologies in the mining sector. P rogress in AI may, however, lessen the back-ended risk premium itself by shorten ing the duration of mining projects and the required rate of investment by reduc ing the associated risk."
University of TasmaniaArtificial Intel ligenceEmerging TechnologiesMachine LearningTechnology
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