Power Bat – How Spektacom is Powering the Game of Cricket with Microsoft AI

A special guest post by cricket legend and founder of Spektacom Technologies, Anil Kumble. This post was co-authored by Tara Shankar Jana, Senior Technical Product Marketing Manager at Microsoft. While cricket is an old sport with a dedicated following of fans across the globe, the game has been revolutionized in the 21st century with the… Read more

See How AI is Inspiring the Next Generation of Developers

This post is authored by Nile Wilson, Software Engineer Intern at Microsoft. Imagine Cup 2018 winning teams: smartARM (first place, front and center), iCry2Talk (second place, attired in pink), and Mediated Ear (third place, at the right). Every year, Microsoft hosts the Imagine Cup, a global competition bringing together creative, bright, and motivated students to… Read more

Using Siamese Networks and Pre-Trained Convolutional Neural Networks (CNNs) for Fashion Similarity Matching

This post is co-authored by Erika Menezes, Software Engineer at Microsoft, and Chaitanya Kanitkar, Software Engineer at Twitter. This project was completed as part of the coursework for Stanford’s CS231n in Spring 2018. Ever seen someone wearing an interesting outfit and wonder where you could buy it yourself? You’re not alone – retailers world over… Read more

Building a Diabetic Retinopathy Prediction Application using Azure Machine Learning

This post is co-authored by Anusua Trivedi, Data Scientist, Microsoft; Patrick Buehler, Data Scientist, Microsoft; Dr. Sunil Gupta, Founder, Intelligent Retinal Imaging System (IRIS); and Jocelyn Desbiens, Researcher, IRIS.   Introduction Diabetic Retinopathy (DR) is the most common cause of blindness in the working population of the United States and Europe. The World Health Organization… Read more

Deep Learning for Emojis with VS Code Tools for AI – Part 2

This post is authored by Erika Menezes, Software Engineer at Microsoft. In Part 1 of this blog series, we created a recipe prediction model to predict recipes from a text input that may contain an arbitrary number of emojis. In this post we will go over how to operationalize this model as a web service… Read more

Free E-Book: A Developer’s Guide to Building AI Applications

O’Reilly and Microsoft are excited bring you a new e-book on AI, titled A Developer’s Guide to Building AI Applications. This book, which is clearly developer-focused, walks you through the process of building intelligent cloud-based bots, and makes relevant code samples available from GitHub. As you know, AI is accelerating the digital transformation of every… Read more

How to Use FPGAs for Deep Learning Inference to Perform Land Cover Mapping on Terabytes of Aerial Images

This post is authored by Mary Wahl, Data Scientist; Daniel Hartl and Wilson Lee, Senior Software Engineers; Xiaoyong Zhu, Program Manager; Erika Menezes, Software Engineer; and Wee Hyong Tok, Principal Data Scientist Manager, at Microsoft. AI for Earth puts Microsoft’s cloud and AI tools in the hands of those working to solve global environmental challenges…. Read more

Improving Medical Imaging Diagnostics Using Azure Machine Learning Package for Computer Vision

This post is by Ye Xing, Senior Data Scientist, Tao Wu, Principle Data Scientist Manager, and Patrick Buehler, Senior Data Scientist, at Microsoft. The advancement of medical imaging, as in many other scientific disciplines, relies heavily on the latest advances in tools and methodologies that make rapid iterations possible. We recently witnessed this first-hand when… Read more

Azure Machine Learning Packages for Vision, Text and Forecasting in Public Preview

This post is authored by Matt Conners, Principal Program Manager, and Neta Haiby, Principal Program Manager at Microsoft. Earlier today, at Build 2018, we made a set of Azure AI Platform announcements, including the public preview release of Azure Machine Learning Packages for Computer Vision, Text Analytics, and Forecasting. The Azure Machine Learning Packages are… Read more

Kubernetes Load Testing

This post is authored by Daniel Grecoe, Senior Software Engineer at Microsoft. Today many platforms are moving towards hosting artificial intelligence models in self-managed container services such as Kubernetes. At Microsoft this is a substantial change from Azure Machine Learning Studio which provided all the model management and operationalization services for the user automatically. To… Read more