Robotics & Machine Learning Daily News2024,Issue(Jun.25) :66-67.

New Intelligent Systems Findings Has Been Reported by Investigators at Guangdong Ocean University (Acgnd: Towards Lower Complexity and Fast Solution for Dynamic Tensor Inversion)

广东海洋大学的研究人员报告了智能系统的新发现(Acgnd:面向低复杂性和快速求解动态张量反演)

Robotics & Machine Learning Daily News2024,Issue(Jun.25) :66-67.

New Intelligent Systems Findings Has Been Reported by Investigators at Guangdong Ocean University (Acgnd: Towards Lower Complexity and Fast Solution for Dynamic Tensor Inversion)

广东海洋大学的研究人员报告了智能系统的新发现(Acgnd:面向低复杂性和快速求解动态张量反演)

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摘要

一位新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-机器学习的研究结果-智能系统在一份新的报告中讨论。根据NewsRx编辑的湛江新闻报道,“动态张量反演(DTI)是近年来出现的一个新问题,主要应用于TensorFlow和PyTorch等人工智能开发框架中,传统数值方法在处理该问题时存在明显的滞后误差。”本研究的资金来源包括:声学科技实验室稳定的资助基金、广东省教育厅特色创新计划。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning - Intelligent Systems are discussed in a new report. According to news reporting out of Zhanjiang, People's Republic of China, by NewsRx editors, research state d, "Dynamic Tensor Inversion (DTI) is an emerging issue in recent research, prev alent in artificial intelligence development frameworks such as TensorFlow and P yTorch. Traditional numerical methods suffer significant lagging error when addr essing this issue." Financial supporters for this research include Stable Supporting Fund of Acousti c Science and Technology Laboratory, Characteristic Innovation Program of the Ed ucation Department of Guangdong Province.

Key words

Zhanjiang/People's Republic of China/A sia/Intelligent Systems/Machine Learning/Guangdong Ocean University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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