Opinions, tips, and news orbiting Microsoft
In 2020, the Microsoft Health Innovation Awards recognized forward-thinking health, wellness, and life sciences solutions that leverage technology to achieve innovative excellence and industry disruption.
The O… Continue reading Meet the Nurse Leaders who judged the 2020 Microsoft Health Innovation Awards
After several months working with partners and customers around Azure Sentinel, there has been a very frequent ask about multi-tenant and multi-workspace management. Obviously, as a partner, you would like to see a consolidated view of your cus… Continue reading Making your Azure Sentinel Workbooks multi-tenant (or multi-workspace)
This post is co-authored by Maxim Lukiyanov, Principal PM Manager, Azure Machine Learning.
Today, we are pleased to announce the release of an enhanced notebook editor in the Azure Machine Learning Studio. This update enables members of Azure ML… Continue reading Bringing IntelliSense, collaboration and more to Jupyter notebooks with Azure Machine Learning
Microsoft Lists is your smart information tracking app in Microsoft 365. Your lists just got a whole lot smarter and so, too, shall you as you tune into this exciting episode.
Track information. Organize work. Get things done. Listen to podcast … Continue reading “Make a list and check it twice” ? – The Intrazone podcast all about Microsoft Lists
Build 2020 brought a lot of Microsoft 365 news and announcements for businesses and developers – including the first disclosure of Microsoft Lists. We are pleased to share our vision for Lists – to highlight how you use it to track issues, manage inven… Continue reading Announcing Microsoft Lists – Your smart information tracking app in Microsoft 365
This post was co-authored by @Chris Lauren , @Ian Finder , @David_Aronchick , Maxim Lukiyanov, Gopi Kumar
Microsoft, like much of the tech industry, has adopted deep learning to power features across our busine… Continue reading Training deep learning models at scale in Azure
The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration. Microsoft’s AI at Scale initiative brings together the … Continue reading AI at Scale in Microsoft 365 with actionable search-driven experiences
At the 2005 Conference on Neural Information Processing Systems, researcher Hanna Wallach found herself in a unique position—sharing a hotel room with another woman. Actually, three other women to be exact. In the previous years she had attended, that had never been an option because she didn’t really know any other women in machine learning. […]
The post Fairness and interpretability in AI: Putting people first appeared first on Microsoft Research.
Continue reading Fairness and interpretability in AI: Putting people first