Comparing Deep Learning Frameworks: A Rosetta Stone Approach

This post is authored by Ilia Karmanov, Mathew Salvaris, Miguel Fierro, Danielle Dean, all Data Scientists at Microsoft. With this blog post, we are releasing a full version 1.0 of this repo, open-source on GitHub at: https://github.com/ilkarman/DeepLearningFrameworks. We believe deep-learning frameworks are like languages: Sure, many people speak English, but each language serves its own… Read more

How Three Lines of Code and Windows Machine Learning Empower .NET Developers to Run AI Locally on Windows 10 Devices

This post is authored by Rosane Maffei Vallim, Program Manager, and Wilson Lee, Senior Software Engineer at Microsoft. Artificial Intelligence (AI) with deep learning and machine learning algorithms are changing the way we solve variety of problems from manufacturing to biomedical industries. The applications that can benefit from the power of AI are endless. With… Read more

Pixel-Level Land Cover Classification Using the Geo AI Data Science Virtual Machine and Batch AI

This post was authored by Mary Wahl, Kolya Malkin, Siyu Yang, Patrick Flickinger, Wee Hyong Tok, Lucas Joppa, and Nebojsa Jojic, representing the Microsoft Research and AI for Earth teams. Last week Microsoft launched the Geo AI Data Science Virtual Machine (DSVM), an Azure VM type specially tailored to data scientists and analysts that manage… Read more

ONNX Models to be Runnable Natively on 100s of Millions of Windows Devices

This post was authored by Eric Boyd, CVP, AI Data & Infrastructure. Today Microsoft is announcing the next major update to Windows will include the ability to run Open Neural Network Exchange (ONNX) models natively with hardware acceleration. This brings 100s of millions of Windows devices, ranging from IoT edge devices to HoloLens to 2-in-1s… Read more

Using Microsoft AI to Build a Lung-Disease Prediction Model Using Chest X-Ray Images

This blog post is co-authored by Xiaoyong Zhu, George Iordanescu and Ilia Karmanov, Data Scientists at Microsoft, and Mazen Zawaideh, Radiologist Resident at the University of Washington Medical Center. Introduction Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind digital transformation that is revolutionizing the way we live and work. This… Read more

Image Data Support in Apache Spark

This post is co-authored by the Microsoft Azure Machine Learning team, in collaboration with Databricks Machine Learning team. Introduction Apache Spark is being increasingly used for deep learning applications for image processing and computer vision at scale. Problems such as image classification or object detection are being solved using deep learning frameworks such as Cognitive… Read more

Introducing the Microsoft Machine Learning Server 9.3 Release

This post is authored by Nagesh Pabbisetty, Partner Director of Program Management at Microsoft. Thank you for your overwhelming response to Microsoft Machine Learning Server and SQL Server Machine Learning Services. We are humbled to see the millions of installs since we first launched Microsoft R Server in 2016, and the pace is only accelerating!… Read more

Applying NLP in Sentiment Classification & Entity Recognition Using Azure ML and the Team Data Science Process

This post was co-authored by Muhammad Raza Khan & Akshay Mehra (both former interns), with Mohamed Abdel-Hady & Debraj GuhaThakurta (Senior Data Scientist Leads) and Wei Guo & Zoran Dzunic (Data Scientists) at Microsoft. We recently published two real-world scenarios demonstrating how to use Azure Machine Learning alongside the Team Data Science Process (TDSP) to… Read more

ICYMI: Recent Microsoft AI Updates, Including in Custom Speech Recognition, Voice Output, and Video Indexing

A quick recap of three recent posts about Microsoft AI platform developments – just in case you missed it. 1. Start Building Your Own Code-Free, Custom Speech Recognition Models Microsoft is at the forefront of speech recognition, having reached human parity on the Switchboard research benchmark. This technology is truly capable of transforming our daily lives,… Read more

Free: Microsoft AI Bootcamp Materials for Emerging & Pro Developers

This post is authored by Chris Testa-O’Neill, Applied Data Scientist in the Microsoft Cloud AI team. Artificial Intelligence (AI) is proving to be a massively disruptive force, one that is leading to the digital transformation of businesses at a faster pace than most of us would have imagined. At Microsoft, our mission is to bring… Read more