Preventing Rhino Poaching With Microsoft Azure
May 7, 2019May 7, 201905/7/19Peace Parks Foundation partnered with Microsoft to build a scalable alerting system that helps to fight rhino poaching in South Africa.
May 7, 2019May 7, 201905/7/19May 7, 2019May 7, 201905/7/19
Assessing The Severity Of Acne Via Cell Phone Selfie Images Using A Deep Learning Model
February 5, 2019Feb 5, 201902/5/19Nestlé Skin Health partnered with Microsoft to develop a deep learning model powered mobile app able to assess acne severity using only uploaded selfie images as a source.
Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services
January 10, 2019Jan 10, 201901/10/19Deep learning algorithms capable of learning and predicting customer behavior are allowing businesses to intervene with the right retention offers at the right time. CSE recently partnered with Majid Al Futtaim Ventures (MAF) to design and deploy a machine learning solution to predict attrition.
Real-time time series analysis at scale for trending topics detection
January 2, 2019Jan 2, 201901/2/19This code story describes a collaboration with ZenCity around detecting trending topics at scale. We discuss the datasets, data preparation, models used and the deployment story for this scenario.
Improving Safety and Efficiency in BMW Manufacturing Plants with an Open Source Platform for Managing Inventory Delivery
December 19, 2018Dec 19, 201812/19/18Over the course of twelve months Microsoft and BMW partnered three different times to help BMW with its vision for technical transformation. An open-source package called ROS-Industrial was used to help provide the building blocks for the robotics work.
Active Learning for Object Detection in Partnership with Conservation Metrics
November 6, 2018Nov 6, 201811/6/18CSE teamed up with Conservation Metrics to use Active Learning to allow for more efficient data labeling for object detection projects.
Unsupervised driver safety estimation at scale, a collaboration with Pointer Telocation
July 30, 2018Jul 30, 201807/30/18A scalable unsupervised approach for driver safety estimation on Pointer Telocation’s dataset
Semantic Segmentation of Small Data using Keras on an Azure Deep Learning Virtual Machine
July 18, 2018Jul 18, 201807/18/18Golf performance tracking startup Arccos joined forces with Commercial Software Engineering (CSE) developers in hopes of unveiling new improvements to their “virtual caddie” this summer.
Deploying a Batch AI Cluster for Distributed Deep Learning Model Training
July 9, 2018Jul 9, 201807/9/18Microsoft and Land O’Lakes partnered to develop an automated solution to identify sustainable farming practices given thousands of satellite images of Iowan farms. Our primary goal was to reduce the reliance on manual interviewing of farmers and make it more profitable for farmers to follow sustainable farming practices. To tackle this issue our team deployed a highly scalable Batch AI cluster on Azure and then performed distributed deep learning model training with Horovod.
Satellite Images Segmentation and Sustainable Farming
July 5, 2018Jul 5, 201807/5/18Can Machine Learning help with detecting sustainable farming practices? In this blog post inspired by our collaboration with Land O’Lakes we share the lessons we learned in the image segmentation space.
