Robotics & Machine Learning Daily News2024,Issue(Nov.20) :52-52.

Data from Kyoto University Provide New Insights into Artificial Intelligence (Ex plainable artificial intelligence for machine learning prediction of bandgap ene rgies)

京都大学的数据为人工智能提供了新的见解(例如,用于带隙环境机器学习预测的人工智能)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :52-52.

Data from Kyoto University Provide New Insights into Artificial Intelligence (Ex plainable artificial intelligence for machine learning prediction of bandgap ene rgies)

京都大学的数据为人工智能提供了新的见解(例如,用于带隙环境机器学习预测的人工智能)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的最新研究成果已经发表。据新闻报道NewsRx记者从Kyo向大学的报道称,“带隙”是半导体和绝缘体的一种固有特性,对它们的电气性能和绝缘体性能有很大的影响光学特性。然而,使用密度泛函理论(DFT)的理论计算是耗时且低估了带隙。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on artificial in telligence have been published. According to newsreporting originating from Kyo to University by NewsRx correspondents, research stated, “The bandgapis an inhe rent property of semiconductors and insulators, significantly influencing their electrical andoptical characteristics. However, theoretical calculations using the density functional theory (DFT) aretime-consuming and underestimate bandgap s.”

Key words

Kyoto University/Artificial Intelligenc e/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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