Deploying Deep Learning Models on Kubernetes with GPUs

This post is authored by Mathew Salvaris and Fidan Boylu Uz, Senior Data Scientists at Microsoft. One of the major challenges that data scientists often face is closing the gap between training a deep learning model and deploying it at production scale. Training of these models is a resource intensive task that requires a lot…


Deploying Deep Learning Models on Kubernetes with GPUs

This post is authored by Mathew Salvaris and Fidan Boylu Uz, Senior Data Scientists at Microsoft. One of the major challenges that data scientists often face is closing the gap between training a deep learning model and deploying it at production scale. Training of these models is a resource intensive task that requires a lot…


「Emotet」の大規模感染を阻止した人工知能のしくみ

2 月 3 日午前 12 時 46 分 (現地時間)、ノースカロライナ州に住む Windows 7 Pro のお客様が Trojan:Win32/Emotet (英語情報) と呼ばれる新手のマルウェア キャンペーンの攻撃の最初の被害者となりました。その後 30 分の間に 1,000 人以上に攻撃が仕掛けられましたが、Windows Defender AV の瞬時の自動保護により、すべてのお客様が被害を免れました。


Azure Short Videos

I recently blogged about Azure Short Videos – few topics are still WIP and I’ll update them soon. However, there are links to hundreds of videos already. Azure is a fast moving platform with changes coming to it more often and more quickly than ever before. It’s difficult to keep up with the features and…


Inventory Optimization Solution in the Azure AI Gallery

This post is co-authored by Dmitry Pechyoni, Senior Data Scientist, Hong Lu and Chenhui Hu, Data Scientists, Praneet Solanki, Software Engineer, and Ilan Reiter, Principal Data Scientist Manager at Microsoft. For retailers, inventory optimization is a critical task to facilitate production planning, cost reduction, and operation management. Tremendous business value can be derived by optimizing…


Intelligent Edge: Building a Skin Cancer Prediction App with Azure Machine Learning, CoreML & Xamarin

This post is authored by Anusua Trivedi, Carlos Pessoa, Vivek Gupta & Wee Hyong Tok from the Cloud AI Platform team at Microsoft. Motivation AI has emerged as one of the most disruptive forces behind digital transformation and it is revolutionizing the way we live and work. AI-powered experiences are augmenting human capabilities and transforming…


Training Many Anomaly Detection Models using Azure Batch AI

This post is authored by Said Bleik, Senior Data Scientist at Microsoft. In the IoT world, it’s not uncommon that you’d want to monitor thousands of devices across different sites to ensure normal behavior. Devices can be as small as microcontrollers or as big as aircraft engines and might have sensors attached to them to…


Training State-of-the-Art Neural Networks in the Microsoft Azure Cloud

This is the third post in a three-part series by guest blogger, Adrian Rosebrock. Adrian writes at PyImageSearch.com about computer vision and deep learning using Python. He recently finished authoring a new book on deep learning for computer vision and image recognition. Introduction In the final part in this series, I want to address a question I received from…


Scaling Azure Container Service Clusters

This post is authored by Daniel Grecoe, Senior Software Engineer at Microsoft. Replica sets and pods and nodes…oh my! Microsoft has created very powerful and customizable tools for the professional data scientist with the Azure Machine Learning Workbench. The tool is used to create container images for Machine Learning or Artificial Intelligence models and exposing…