摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可以获得。根据NewsR X编辑在纽约纽约市的新闻报道，研究表明，“最近传感和机器学习技术的迅速发展导致了人们生物特征的普遍收集和利用，例如指纹、声音、视网膜/面部SCA NS或步态/动作/手势数据，从而实现了广泛的应用，包括G认证、健康监测、或者更复杂的分析。在提供更好的用户体验和更深入的商业见解的同时，生物计量学的使用引起了严重的隐私担忧，因为它们固有的敏感性质，以及随之而来的泄露敏感信息的高风险，如身份或医疗状况。这项研究的财政支持来自欧盟委员会联合研究中心。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting out of New York City, New York, by NewsR x editors, research stated, "The recent rapid advancements in both sensing and m achine learning technologies have given rise to the universal collection and uti lization of people's biometrics, such as fingerprints, voices, retina/facial sca ns, or gait/motion/gestures data, enabling a wide range of applications includin g authentication, health monitoring, or much more sophisticated analytics. While providing better user experiences and deeper business insights, the use of biom etrics has raised serious privacy concerns due to their intrinsic sensitive natu re and the accompanying high risk of leaking sensitive information such as ident ity or medical conditions." Financial support for this research came from European Commission Joint Research Centre.
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