Multi-Domain Task-Completion Dialog Challenge
As part of the Eighth Dialog System Technology Challenge (DSTC8), Microsoft Research and Tsinghua University are hosting a track intended to foster progress in two important aspects of dialog systems: dialog complexity and scaling to…
Winners announced in multi-agent reinforcement learning challenge
In Learning to Play: The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition, we invited programmers into this digital world to help tackle multi-agent reinforcement learning. This challenge, the second competition using the Project Malmo platform,…
FAT* 2019 Translation Tutorial: Challenges of incorporating algorithmic fairness into industry practice
Despite mounting public pressure to design machine learning (ML) systems that treat all users fairly, industry practitioners face considerable challenges when translating research in algorithmic fairness into practice. This tutorial aims to reduce the gap…
Microsoft SEAL open source homomorphic encryption library gets even better for .NET developers!
Since its open-source release on December 3rd 2018, Microsoft SEAL has become one of the world’s most popular homomorphic encryption libraries and has been adopted by security and privacy professionals world-wide in both academia and…
Adversarial Benchmarks for Commonsense Reasoning
Human intelligence involves comprehending new situations through a rich model of the world. Given a single image from a movie, or a paragraph from a novel, we can easily infer people’s intentions, mental states, and…
Talking with machines with Dr. Layla El Asri
Episode 64, February 20, 2019 – Dr. Layla El Asri talks about the particular challenges she and other scientists face in building sophisticated dialogue systems that lay the foundation for talking machines. She also explains…