How OSIsoft and Deschutes Brewery used Microsoft Security Risk Detection
Learn how OSIsoft used Project Springfield, a cloud-based bug detector from Microsoft Research, to help Deschutes Brewery focus on what they do best: Making great beer. To find out more about Project Springfield, visit https://www.microsoft.com/springfield…
How OSIsoft and Deschutes Brewery used Project Springfield (Full)
Learn how OSIsoft used Project Springfield, a cloud-based bug detector from Microsoft Research, to help Deschutes Brewery focus on what they do best: Making great beer. To find out more about Project Springfield, visit https://www.microsoft.com/springfield…
Counterfactual Evaluation and Learning from Logged User Feedback
Interactive systems like search engines, recommender systems, and ad placement platforms are ubiquitous. Evaluating and optimizing these systems is hard – users’ feedback governs system performance, and gathering their feedback in repeated randomized experiments is…
Intelligent Editing
The Intelligent Editing Project seeks to apply neural networks and other modern machine learning techniques to furnish editorial assistance. We look beyond traditional grammatical error checking to focus on facilitating writers by providing them with…
Knowledge Mining API
To better satisfy the requirements of different scenarios, we built a set of knowledge mining APIs using our technologies developed for Satori Pipeline, Bing QnA and our Enterprise Dictionary project. We are pleased to announce…
Digital Me
Digital Me: Toward Digitalizing Everybody in the World Introduction: Artificial Intelligence (AI) applications such as chat bots, software assistants etc. are attracting increasing attention from both academic and industry. Most existing work aim to assist…
Enterprise Dictionary
1. Project Introduction “Everyday we are faced with a sea of acronyms, ever changing group structures, and fast-tracked projects.” Currently, collation and curation of corporate knowledge is a painstaking manual process. We seek to move…
QnA Miner
Goal: Q&A is an important knowledge data to enable many scenarios like auto question answering in bot. This Q&A miner provide a platform to 1. Extract Q&A data automatically w/ human knowledge in loop. 2.…
Healthcare: Digital Doctor
Goal: Digital Doctor is a doctor assistant bot, which can help doctor to improve self ability and also answer patients questions automatically Demo: Auto QnA: http://msraml.cloudapp.net/home/manage.html Medical KB: http://msraml-s004:2521/ Techniques: KB Construction 知识字典建立 问题:…