1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchRan Gilad-Bachrachhttps://www.microsoft.com/en-us/research/people/rang/Private AI - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="XSCeA50EEf"><a href="https://www.microsoft.com/en-us/research/video/private-ai/">Private AI</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/video/private-ai/embed/#?secret=XSCeA50EEf" width="600" height="338" title="“Private AI” — Microsoft Research" data-secret="XSCeA50EEf" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://www.microsoft.com/en-us/research/wp-content/uploads/2017/07/39534_.png19091081As the volume of data goes up, the quality of machine learning models, predictions, and services will improve. Once models are trained, predictive cloud services can be built on them, but users who want to take advantage of the services have serious privacy concerns about exposing consumer and enterprise data—such as private health or financial […]