Microsoft Research Lab – Asia
News & features
This year, the Microsoft Research Asia Fellowship Award attracted 106 distinguished Ph.D. candidates from 36 leading research universities or institutions around the Asia Pacific Region to apply. As a result, only 12 extremely outstanding students have been awarded fellowships. This…
NeurIPS 2020: Moving toward real-world reinforcement learning via batch RL, strategic exploration, and representation learning
As human beings, we encounter unfamiliar situations all the time—learning to drive, living on our own for the first time, starting a new job. And while we can anticipate what to expect based on what others have told us or…
In the news | Microsoft Stories Asia
Novo Nordisk and Microsoft will introduce an educational Chinese-speaking chatbot for diabetes patients
Microsoft in China and Novo Nordisk, a leading healthcare company specializing in diabetes care globally, jointly announced the collaboration to develop a Chinese-speaking, AI chatbot for diabetic patients at the 3rd China International Import Expo. Combining Novo Nordisk’s expertise and experience in…
Awards | USENIX OSDI 2020
Jay Lepreau Best Paper Award at OSDI 2020
Our paper titled “Byzantine Ordered Consensus without Byzantine Oligarchy” won the Jay Lepreau Best Paper Award at the 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI) conference.
Bringing AI outside the lab is a formidable challenge, since the real world is full of uncertainty, non-stationarity, and plenty of unknown hidden states. Therefore, training an AI system starting from simulated data mimicking the reality will only provide limited…
Microsoft Turing Universal Language Representation model, T-ULRv2, tops XTREME leaderboard
| Saurabh Tiwary and Ming Zhou
Today, we are happy to announce that Turing multilingual language model (T-ULRv2) is the state of the art at the top of the Google XTREME public leaderboard (opens in new tab). Created by the Microsoft Turing team in collaboration with…
As an adaptive learning rate stochastic optimization method, Adam has been widely used in the field of deep learning since it was first proposed in 2014. In order to improve its training efficiency when applied to large-scale tasks, Adam is…
Abstract With the rapid development of text matching and pre-training models, chatbot systems are now able to yield relevant and fluent responses but sometimes make mistakes in logic because of weak reasoning capabilities. To facilitate the research in this field,…
In the past few decades, the rapid progress of human industries and agriculture, the growth of the population, and harmful gases produced by human activities have caused serious air pollution and are endangering human health. In addition to causing lung diseases…