Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Projet
Real World Reinforcement Learning
The mission of Real World Reinforcement Learning (Real-World RL) team is to develop learning methods, from foundations to real world applications, to empower people and organizations to make better decisions. The research enables the next…
Blog de recherche Microsoft
Machine Reading Systems Are Becoming More Conversational
A team of researchers from the Natural Language Processing (NLP) Group at Microsoft Research Asia (MSRA) and the Speech Dialog Research Group at Microsoft Redmond are currently leading in the Conversational Question Answering (CoQA) Challenge…
Projet
Project Alexandria
The aim of Project Alexandria is to automatically extract business knowledge into a single, consistent knowledge base, made up of the entities that really matter to each organisation. This powers human-centric experiences that enable people…
Outil
MS MARCO
MS MARCO is a collection of datasets focused on deep learning in search. The first dataset was a question answering dataset featuring 100,000 real Bing questions and a human generated answer. Since then, we released…
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Projet
Hybrid Reward Architecture
For reinforcement learning (RL), where the goal is to learn good behavior in a data-driven way, the Arcade Learning Environment (ALE), which provides access to a large number of Atari 2600 games, has been a…
Outil
Reinforcement Learning via Latent State Decoding
A python package with a reinforcement learning algorithm that decodes latent states from rich observations.
Blog de recherche Microsoft
Deep InfoMax: Learning good representations through mutual information maximization
As researchers continue to apply machine learning to more complex real-world problems, they’ll need to rely less on algorithms that require annotation. This is not only because labels are expensive, but also because supervised learners…
Vidéo
Explainable AI for Science and Medicine
Understanding why a machine learning model makes a certain prediction can be as crucial as the prediction’s accuracy in many applications. Here l will present a unified approach to explain the output of any machine…
