Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Microsoft Research Blog
Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation
The vision of the researchers at the Microsoft Research Montreal lab is to create machines that can comprehend, reason and communicate with humans. As part of this vision, our dialogue team has been doing research…
Project
Contextually Intelligent Assistants
The Contextually Intelligent Assistants project makes progress toward the type of contextual intelligence needed for next-generation assistants. It does this by improving the state-of-the-art in understanding task intent from task descriptions.
Project
Intelligible, Interpretable, and Transparent Machine Learning
The importance of intelligibility and transparency in machine learning Most real datasets have hidden biases. Being able to detect the impact of the bias in the data on the model, and then to repair the…
Video
Video Abstract: Project InnerEye – Assistive AI for Cancer Treatment
Project InnerEye is a new AI product targeted at improving the productivity of oncologists, radiologists and surgeons when working with radiological images. The project’s main focus is in the treatment of tumors and monitoring the…
Video
Video Abstract: Mobile Directions Robot
This demo shows our work on a mobile robot that gives directions to visitors. Currently, this robot is navigating Microsoft Building 99, leading people, escorting and interacting with visitors and generally providing a social presence…
Video
Video Abstract: Microsoft Pix
Microsoft Pix helps every photographer take better pictures. Because it incorporates AI behind the lens, it can tweak settings, select the best shots, and enhance them on the fly. It’s designed to help take the…
Video
Video Abstract: Machine Teaching Using the Platform for Interactive Concept Learning (PICL)
Building machine learning (ML) models is an involved process requiring ML experts, engineers, and labelers. The demand of models for common-sense tasks far exceeds the available “teachers” that can build them. We approach this problem…
Video
Video Abstract: Machine Reading Comprehension over Automotive Manual
Maluuba’s vision is to build literate machines. The research team has built deep learning models that can process written unstructured text and answer questions against it. The demo will showcase Maluuba’s machine reading comprehension (MRC)…
Video
Video Abstract: Interactive Chinese Learning App
When traveling to China it’s best to know at least a bit of the language. The mobile app called Learn Chinese can help travelers enjoy a better journey. Learn Chinese teaches in an interactive way,…
Video
Video Abstract: DeepFind: Searching within Documents to Answer Natural Language Questions
DeepFindSearching within web documents on mobile devices is difficult and unnatural: ctrl-f searches only for exact matches, and it’s hard to see the search results. DeepFind takes a step toward solving this problem by allowing…
