Microsoft AI Immersion Workshop in Seattle – May 9th, 2017

The Microsoft AI Immersion Workshop, to be held in Seattle on May 9th, 2017, is a FREE pre-event to Microsoft Build 2017. The Workshop is a special opportunity for advanced developers interested in creating the next generation of intelligent apps, including enterprise-grade solutions, that use the very latest AI and Machine Learning techniques. Experienced Microsoft… Read more

Quick-Start Guide to the Data Science Bowl Lung Cancer Detection Challenge, Using Deep Learning, Microsoft Cognitive Toolkit and Azure GPU VMs

This post is by Miguel Fierro, Data Scientist, Ye Xing, Senior Data Scientist, and Tao Wu, Principal Data Scientist Manager, all at Microsoft. Since its launch in mid-January, the Data Science Bowl Lung Cancer Detection Competition has attracted more than 1,000 submissions. To be successful in this competition, data scientists need to be able to… Read more

Add Intelligence to Any SQL App, with the Power of Deep Learning

Re-posted from the SQL Server blog. Recent results and applications involving Deep Learning have proven to be incredibly promising, and across a diverse set of areas too, including speech recognition, language understanding, computer vision and more. Deep Learning is changing customer expectations and experiences around a variety of products and mobile apps, whether we’re aware… Read more

Cognitive Toolkit Helps Win 2016 CIF International Time Series Competition

This post is authored by Slawek Smyl, Senior Data & Applied Scientist at Microsoft. The Computational Intelligence in Forecasting (CIF) International Time Series Competition was one of ten competitions held at the IEEE World Congress on Computational Intelligence (IEEE WCCI) in Vancouver, Canada, in late July this year. I am excited to report that my… Read more

Training Deep Neural Networks on ImageNet Using Microsoft R Server and Azure GPU VMs

This post is by Miguel Fierro, Data Scientist, Max Kaznady, Data Scientist, Richin Jain, Solution Architect, Tao Wu, Principal Data Scientist Manager, and Andreas Argyriou, Data Scientist, at Microsoft. Deep learning has made a lot of strides in the computer vision subdomain of image classification in the past few years. This success has opened up… Read more

Applying Deep Learning at Cloud Scale, with Microsoft R Server & Azure Data Lake

This post is by Max Kaznady, Data Scientist, Miguel Fierro, Data Scientist, Richin Jain, Solution Architect, T. J. Hazen, Principal Data Scientist Manager, and Tao Wu, Principal Data Scientist Manager, all at Microsoft. Today’s businesses collect vast volumes of images, video, text and other types of data – data which can provide tremendous business value… Read more

How to Train a Deep-Learned Object Detection Model in the Microsoft Cognitive Toolkit

This post is authored by Patrick Buehler, Senior Data Scientist, and T. J. Hazen, Principal Data Scientist, at Microsoft. Last month we published a blog post describing our work on using computer vision to detect grocery items in refrigerators. This was achieved by adding object detection capability, based on deep learning, to the Open Source… Read more

Deep Neural Networks in Azure

This post is authored by Anusua Trivedi, Data Scientist, and Jamie F Olson, Analytics Solutions Architect, of Microsoft. This blog is an extension of Part 2 of our blog series. In our earlier blog, we showed how to train a Deep Convolutional Neural Network (DCNN) to classify medical images to detect Diabetic Retinopathy. For training… Read more

Building Deep Neural Networks in the Cloud with Azure GPU VMs, MXNet and Microsoft R Server

This post is by Max Kaznady, Data Scientist; Richin Jain, Solution Architect; Tao Wu, Principal Data Scientist Manager; Miguel Fierro, Data Scientist and Andreas Argyriou, Data Scientist, all at Microsoft. Deep learning has been behind several recent breakthroughs in machine learning applications. In the field of computer vision, novel approaches such as deep residual learning… Read more

Microsoft and Liebherr Collaborating on New Generation of Smart Refrigerators

This post is by T. J. Hazen, Principal Data Scientist Manager at Microsoft. As part of the Liebherr household appliances division’s digital initiative, Liebherr and Microsoft are collaborating in the development of Liebherr’s new generation of the SmartDeviceBox. This is a communication module which fits into Liebherr refrigerators and freezers, connecting them to the internet…. Read more