Robotics & Machine Learning Daily News2024,Issue(Dec.4) :160-160.

New Machine Learning Study Findings Reported from Chinese Academy of Sciences (R evolutionizing Machine Learning: Blockchain-based Crowdsourcing for Transparent and Fair Labeled Datasets Supply)

中国科学院新的机器学习研究结果(R进化机器学习:基于区块链的众包透明和公平标记数据集供应)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :160-160.

New Machine Learning Study Findings Reported from Chinese Academy of Sciences (R evolutionizing Machine Learning: Blockchain-based Crowdsourcing for Transparent and Fair Labeled Datasets Supply)

中国科学院新的机器学习研究结果(R进化机器学习:基于区块链的众包透明和公平标记数据集供应)

扫码查看

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-调查人员讨论机器学习的新发现。根据新闻报道由NewsRx记者发源于中华人民共和国沈阳,Research称:"与5g/6g通信网络的发展,工业物联网(IIoT)产业的发展产生了大量的数据,为机器领域的广告提供了机会学习。机器学习的核心是标注数据集,它要求多样性、数量和质量。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Shenyang, People’ s Republic of China, by NewsRx correspondents, research stated, “Withthe develo pment of 5G/6G communication networks, the industrial Internet of Things (IIoT) industry hasgenerated a massive amount of data, presenting opportunities for ad vancements in the field of machinelearning. The core of machine learning, label ed datasets, requires qualities such as diversity, quantity, andquality.”

Key words

Shenyang/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Science s

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文