On-Demand Webinar – AI Development Using Data Science VMs (DSVM), Deep Learning VMs (DLVM) & Azure Batch AI

This post is authored by Barnam Bora, Program Manager in the Cloud AI group at Microsoft. Microsoft’s Data Science Virtual Machines (DSVM) and Deep Learning Virtual Machines (DLVM) are a family of popular VM images in Windows Server and Linux flavors that are published on the Azure Marketplace. They have a curated but broad set… Read more

Free Webinars on Cognitive Toolkit with Batch AI, DSVM & Document Collection Analysis

Join us at a set of three exciting webinars starting on Tuesday next week where we’ll show you how to train distributed convolution neural networks using Microsoft Cognitive Toolkit (aka CNTK) and Batch AI, how to do AI development using the latest version of the Data Science Virtual Machine (DSVM), and how to use Document… Read more

How to Train & Serve Deep Learning Models at Scale, Using Cognitive Toolkit with Kubernetes on Azure

This post is authored by Wee Hyong Tok, Principal Data Science Manager at Microsoft. Deep Learning has fueled the emergence of many practical applications and experiences. It has played a central role in making many recent breakthroughs possible, ranging from speech recognition that’s reached human parity in word recognition during conversations, to neural networks that… Read more

Want an Inside Track on the Very Latest in Data Science, Machine Learning & AI?

We have created a special two-day Data Science, Machine Learning, and AI Pass for Microsoft Ignite in Orlando, on September 25th and 26th, just for you! In addition to full access to all the sessions pertaining to these domains – such as the latest ML and deep learning techniques, open source tools, cognitive services APIs,… Read more

A New Real-Time AI Platform from Microsoft, and a Speech Recognition Milestone

Re-posted from the Microsoft Research blog. Microsoft had a couple of major AI -related announcements earlier this week, summarized below. Project Brainwave, for Real-Time AI Microsoft unveiled Project Brainwave earlier this week. A new deep learning acceleration platform, Project Brainwave represents a big leap forward in performance and flexibility for serving cloud-based deep learning models…. Read more

Saving Snow Leopards with Deep Learning and Computer Vision on Spark

This post is authored by Mark Hamilton, Software Engineer at Microsoft, Rhetick Sengupta, President of Snow Leopard Trust, and Principal Program Manager at Microsoft, and Roope Astala, Senior Program Manager at Microsoft. The Snow Leopard – A Highly Endangered Animal Snow leopards are highly endangered animals that inhabit high-altitude steppes and mountainous terrain in Asia… Read more

Machine Learning for Developers – How to Build Intelligent Apps & Services

This post is authored by Daniel Grecoe, Senior Software Engineer at Microsoft. There’s a lot of talk about machine learning these days and how it will transform applications and services. Most of it is right on target: ML is definitely changing the way certain computing tasks will be implemented in the future, why wouldn’t it?… Read more

Running BigDL Apache Spark Deep Learning Library on Microsoft Data Science Virtual Machine

This post is co-authored by Gopi Kumar at Microsoft and Sergey Ermolin at Intel. Introduction BigDL is a distributed deep learning library for Apache Spark. It has both Python and Scala interfaces and takes advantage of Spark-enabled distributed compute infrastructure, allowing users to write Deep Learning applications in a familiar native Spark context format. The Microsoft… Read more

Loading a Trained Model Dynamically in an Azure ML Web Service

This post is authored by Ahmet Gyger, Program Manager at Microsoft. We are very excited to announce the availability of a new module named “Load Trained Model”. As its name indicates, this module allows you to load a trained model (also referred to as an iLearner file) in Azure ML into an experiment at runtime…. Read more

Announcing Microsoft Machine Learning Library for Apache Spark

This post is authored by Roope Astala, Senior Program Manager, and Sudarshan Raghunathan, Principal Software Engineering Manager, at Microsoft. We’re excited to announce the Microsoft Machine Learning library for Apache Spark – a library designed to make data scientists more productive on Spark, increase the rate of experimentation, and leverage cutting-edge machine learning techniques –… Read more