Microsoft Azure
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Top 8 Open Source Artificial Intelligence (AI) Technologies in Machine Learning
Artificial intelligence (AI) technologies are quickly transforming almost every sphere of our lives. From how we communicate to the means we use for transportation, we seem to be getting increasingly addicted to them. Because of these rapid advancements, massive amounts of talent and resources are dedicated to accelerating the growth of the technologies. Here is a list of 8 best open source AI technologies you can use to take your machine learning projects to the next level.
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With The .Net Foundation, Microsoft Finally Bets Big On Open Source
For years, Microsoft has flirted with the open-source movement, trying to build bridges with developers that favor publicly released code over proprietary software. This week, the software giant finally made the big moves skeptics of its commitment to open source have been looking for.
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ZibdyHealth offers a Simple and Secure Way to Consolidate and Manage Health Records
Zibdy, Inc. announces the launch of their secure and free DIY tool within ZibdyHealth application to consolidate medical records (http://www.zibdy.com) using Microsoft Azure. Following the Supreme Court decision to uphold the Affordable Care Act, Zibdy, Inc. has announced that their platform – ZibdyHealth – addresses and provides a solution to a key goal of the ACA and HITECH act – consolidation and exchange of Electronic Medical Records (EMR). Given that patients often have records located in 5 or 6 patient portals, medical record consolidation is an important challenge which ZibdyHealth has now addressed in their free application.
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VistA / eHMP in the Cloud Project Group Status Update
Established in January 2017, this group will implement and maintain a VistA/eHMP Cloud demonstration site using Microsoft Azure. The centerpiece of this implementation will be an operating demo of VistA with eHMP, which will serve as a testbed and proof-of-concept. In addition, facilities will be made available for developer sandboxes and for creation of curated test data in cooperation with university medical and nursing students. This Innovation Webinar will serve as a status update on the groups' progress. Read More »
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