Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Project
Variational Inference for Hierarchical Dynamical Systems
We introduce a flexible, scalable Bayesian inference framework for nonlinear dynamical systems characterised by distinct and hierarchical variability at the individual, group, and population levels.
Microsoft Research Blog
Creating AI glass boxes – Open sourcing a library to enable intelligibility in machine learning
When AI systems impact people’s lives, it is critically important that people understand their behavior. By understanding their behavior, data scientists can properly debug their models. If able to reason how models behave, designers can…
Event
New England Machine Learning Day 2019
The eighth annual New England Machine Learning Day will take place on May 10, 2019, at Northeastern University. The event will bring together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications.…
Tool
Generative Neural Visual Artist (GeNeVA) – Datasets – Generation Code
Scripts to generate the CoDraw and i-CLEVR datasets used for the GeNeVA Neural Visual Artist (GeNeVA) task proposed in Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction.
Project
Generative Neural Visual Artist (GeNeVA)
The Generative Neural Visual Artist (GeNeVA) task The GeNeVA task involves a Teller giving a sequence of linguistic instructions to a Drawer for the ultimate goal of image generation. The Teller is able to gauge…
Podcast
Reinforcement learning for the real world with Dr. John Langford and Rafah Hosn
Episode 75, May 8, 2019- Dr. John Langford, a partner researcher in the Machine Learning group at Microsoft Research New York City, is a reinforcement learning expert who is working, in his own words, to…
Video
Foundations of Data Science
Computer science as an academic discipline began in the 1960s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular…
Microsoft Research Blog
Incentivizing information explorers (when they’d really rather exploit)
Everyone is familiar by now with recommendation systems such as on Netflix for movies, Amazon for products, Yelp for restaurants and TripAdvisor for travel. Indeed, quality recommendations are a crucial part of the value provided…
Microsoft Research Blog
Autonomous soaring – AI on the fly
The past few years have seen tremendous progress in reinforcement learning (RL). From complex games to robotic object manipulation, RL has qualitatively advanced the state of the art. However, modern RL techniques require a lot…
