Text Mining to Improve the Health of Millions of Citizens

By Kenji Takeda, Director of Azure for Research at Microsoft. Doctors face daily decisions about the best care for their patients, and their own clinical experience can be enhanced using evidence-based medicine, such as through clinical trial data. As David Tovey, Editor-in-Chief, Cochrane, explained, “Before evidence-based medicine came along, people were reliant on the expertise…


Combating a spate of Java malware with machine learning in real-time

In recent weeks, we have seen a surge in emails carrying fresh malicious Java (.jar) malware that use new techniques to evade antivirus protection. But with our research team’s automated expert systems and machine learning models, Windows 10 PCs get real-time protection against these latest threats. Attackers are constantly changing their methods and tools. We…

1

Empowering Every Organization on the Planet with Artificial Intelligence

Re-posted from the Microsoft SQL Server blog. Extracting intelligence from ever-expanding amounts of data is now the difference between being the next market disruptor versus being relegated to the history books. Microsoft’s comprehensive data platform and tools let developers and businesses create the next generation of intelligent applications, drive new efficiencies, create better products and…


Accelerating Business Transformation with Cortana Intelligence Solution Templates

Earlier today, Joseph Sirosh, Corporate Vice President, Microsoft Data Group, announced a set of new Cortana Intelligence solution templates as part of his keynote address at the Microsoft Data Amp event. Cortana Intelligence solution templates give customers the means to rapidly conceive and implement their big data, machine learning and analytics projects. Technical implementers can…


Deep Learning with Caffe2 on the Azure Data Science Virtual Machine

This post is authored by Gopi Kumar, Principal Program Manager, and Paul Shealy, Senior Software Engineer, at Microsoft. With the availability of ultra-fast GPUs (Graphics Processing Units), compute-intensive deep learning algorithms are becoming increasingly popular. Deep learning algorithms are particularly versatile at deriving insights from large amounts of information across rich formats such as text,…


Deep Learning on the New Ubuntu-Based Data Science Virtual Machine for Linux

Authored by Paul Shealy, Senior Software Engineer, and Gopi Kumar, Principal Program Manager, at Microsoft. Deep learning has received significant attention recently for its ability to create machine learning models with very high accuracy. It’s especially popular in image and speech recognition tasks, where the availability of massive datasets with rich information make it feasible…


Step-By-Step: Getting Started with Azure Machine Learning

Artificial Intelligence (AI) study and use is on the rise.  Tools to enable AI are becoming more readily available, simpler to use and easier to implement.  What’s more is that the definition of AI itself has been broken down into ingredients that, when later applied into a recipe (or process), can provide multiple desired outcomes.  One of the…


Latest Rev of Utilities for Microsoft Team Data Science Process (TDSP) Now Available

This post is authored by Hang Zhang, Senior Data Science Manager, Xibin Gao, Data Scientist, and Wei Guo, Data Scientist, of Microsoft. We are excited to announce the release of version 0.12 of the Microsoft Team Data Science Process utilities. We had earlier released Team Data Science Process (TDSP) back in September 2016, along with…


Microsoft Updates its Deep Learning Toolkit

This post is by Chris Basoglu, Partner Engineering Manager in the AI & Research group at Microsoft. We are delighted to announce that Microsoft has brought Microsoft Cognitive Toolkit version 2.0 out of beta and is making the first release candidate available today. The toolkit, previously known as CNTK, is a system for deep learning…