About
We are committed to deploying intelligent technology and democratizing that technology’s potential, to the good of all. The impact will be profound. We will empower students, innovators, inventors, researchers, and application developers with our tools, our software brainpower, and our uniquely powerful, global-scale cloud computing capabilities.
AI Engage is a way for you, our research colleagues, to join us in this journey as we develop new programs through which, side by side, we can create a world where humans and machines come together to do amazing things.
Collectively, we have the power to improve the quality of life for all while extending our capability as humans, to the benefit of individuals, organizations, and even the planet.
Meet our researchers
Members of the research team were at these recent events:
- @AAAI-17 | February 4 – 9, 2017, AI is getting smarter; Microsoft researchers want to ensure it’s also getting more accurate
- @NIPS | December 5 – 10, 2016
- Chris Bishop highlights Substance, not hype, powers AI excitement at premier machine learning conference
- Jennifer Wortman Vaughan showcases Making better use of crowdsourcing
- Robert Schapire, John Langford and others discuss As machine learning breakthroughs abound, researchers look to democratize benefits
- @EMNLP | November 1 – 5, 2016
- @ECCV | October 8 – 16, 2016, Marc Pollefeys and Jamie Shotton discuss HoloLens future highlighting wide ranging vision research at ECCV
- @ACL | August 7 – 12, 2016, Bill Dolan and Microsoft NLP researchers converge, edging ever closer to human-like conversational experiences
- @IJCAI | July 9 – 15, 2016, Eric Horvitz discusses Developing technologies that allow people and machines to collaborate
- @CPVR | June 26 – July 1, 2016, Andrew Fitzgibbon talks about Sharing our vision at CVPR 2016
- @ICML | June 19 – 24, 2016, John Langford is quoted in Microsoft researchers present 18 papers
Featured
Project Malmo
Project Malmo is a sophisticated artificial intelligence experimentation platform built on top of Minecraft, and designed to support fundamental research in artificial intelligence. Unlike other computer games, Minecraft offers its users endless possibilities, ranging from simple tasks like walking around looking for treasure to complex ones like building a structure with a group of teammates. Get a glimpse of the possibilities with Malmo using Minecraft to build intelligent technology on our blog >
The Project Malmo platform consists of a mod for the Java version and code that helps artificial intelligence agents sense and act within the Minecraft environment. The two components can run on Microsoft Windows, Linux, or Mac OS, and researchers can program their agents in any programming language they’re comfortable with.
If you want to accelerate the path of innovation in AI, then the Malmo Platform is your choice. Project Malmo is available on GitHub. To learn more about engaging with Malmo visit Project Malmo >
The Malmo Collaborative AI Challenge
A Microsoft Research team has created a competition using Project Malmo, designed to encourage research relating to various problems in Collaborative AI. The competition challenges PhD students to develop an AI that learns to collaborate with other randomly assigned players to achieve a high score in a mini-game within the virtual world.
Working on your PhD? Compete with other students building AI within Minecraft.
Learn more and register now >
CodaLab
Running 100 experiments in parallel on different versions of your code/data? Don’t remember how you got that result from six months ago? CodaLab allows you to run your jobs on a cluster, document and share your experiments, all while keeping track of full provenance, so you can be a more efficient researcher.
CodaLab Worksheets:
Bring your executable papers and enable reproducible research on CodaLab Worksheets.
“ACL 2016 encourages the use of systems that support reproducibility and reusability of experimental software, such as CodaLab, for the software resources submitted with papers.“ [1]
CodaLab Competitions
How about working on data-driven challenges in machine learning and computer vision in a fun and collaborative way? Organize the next competition or participate in one on CodaLab Competitions >
The ChaLearn AutoML Challenge used CodaLab for code contributions to the challenge problem. Learn about the AutoML results at the AutoML workshop colocated with ICML 2016.
CodaLab collaboration
Want to further develop CodaLab? Contribute to this open-source platform on GitHub >
Artificial intelligence for people with vision impairments (AI for VI)
Two research projects inspired by emerging technologies and existing research tools provide more options to freely navigate the world and access information.
Cities Unlocked project taps rich streams of geo-based data to accurately inform users of the proximity of landmarks and destinations via a 3D SoundScape experience.
Seeing AI research project highlights the potential benefit of improved facial recognition technology built upon the Cognitive Services Face API. The Cognitive Services APIs are designed for developers and researchers to be able create applications.