Videos

Multilingualism

8 months ago
An overview of some aspects of multilingualism for those that are new to the field. This talk introduces important issues and concepts to have in mind when working on your research projects. See more on this video at www.microsoft.com/en-us/research/video/multilingualism/

Spoken Dialog Systems – Task Oriented Systems

9 months ago
Tutorial on what actual dialog systems are like and the problems we have with them, based on lectures Alan gave at Carnegie Mellon University. See more on this video at www.microsoft.com/en-us/research/video/spoken-dialog-systems-task-oriented-systems/

Understanding the Rapidly Developing Field of Mobile Mental Health

9 months ago
In recent years, there has been an explosion of interest in and research on the use of mental health technologies that aim to treat and manage mental health problems. From smartphone apps to bots, from machine learning to natural language processing, technology is poised to transform mental health service delivery. However, what out there is […]

The Edge of Machine Learning: Resource efficient ML in 2 KB RAM for the Internet of Things

9 months ago
Resource-efficient ML in 2 KB RAM for the Internet of Things See more on this video at www.microsoft.com/en-us/research/video/edge-machine-learning-resource-efficient-ml-2-kb-ram-internet-things/

Counterfactual Multi-Agent Policy Gradients

9 months ago
Many real-world problems, such as network packet routing and the coordination of autonomous vehicles, are naturally modelled as cooperative multi-agent systems. In this talk, I overview some of the key challenges in developing reinforcement learning methods that can efficiently learn decentralised policies for such systems. I also propose a new multi-agent actor-critic method called counterfactual […]

The Malmo Collaborative AI Challenge

9 months ago
A long-term goal of artificial intelligence research is to develop artificial assistants (AI agents) that can collaborate with and empower their users. This goal raises important questions, such as how AI agents may understand a person’s goals, plans and beliefs in order to facilitate effective collaboration. In this talk I give an overview of the […]

Counterfactual Multi-Agent Policy Gradients

9 months ago
Many real-world problems, such as network packet routing and the coordination of autonomous vehicles, are naturally modelled as cooperative multi-agent systems. In this talk, I overview some of the key challenges in developing reinforcement learning methods that can efficiently learn decentralised policies for such systems. I also propose a new multi-agent actor-critic method called counterfactual […]

Probabilistic Machine Learning and AI

9 months ago
How can a machine learn from experience? Probabilistic modelling provides a mathematical framework for understanding what learning is, and has therefore emerged as one of the principal approaches for designing computer algorithms that learn from data acquired through experience.  The field of machine learning underpins recent advances in artificial intelligence, and data science, and has […]

Design – On the Human Side

9 months ago
This session addresses what is human about artificial intelligence. The session will inspect this question from three very different perspectives.  Alex Taylor will discuss human perspectives on AI; Anab Jain will comment on how design is shaping and commenting on AI; and Rebecca Fiebrink will speak about how people can learn to train AI tools […]

Policy Gradient Methods: Tutorial and New Frontiers

9 months ago
In this tutorial we discuss several recent advances in deep reinforcement learning involving policy gradient methods. These methods have shown significant success in a wide range of domains, including continuous-action domains such as manipulation, locomotion, and flight. They have also achieved the state of the art in discrete action domains such as Atari. We will […]

Improving trust in the compilation from F* to C

9 months ago
F* is a ML-like programming language aimed at program verification, allowing its users to write programs, specifications, and prove them correct in the same tool. It is a key component of the Everest project, whose goal is building a fully verified HTTPS stack, including cryptographic libraries and a TLS implementation. To achieve good performance, F* […]

Data Science Summer School 2017: Student Trajectories and School Choice in NYC

9 months ago
New York City serves over one million public school students each year, yet relatively little is understood in terms of how students progress through the school system. In this talk we use individual-level student data over a ten-year time period to explore how early test performance correlates with later success, to describe and predict which […]