Podcast: Dependable IoT- Making data from IoT devices dependable and trustworthy for good decision making
Episode 009 | June 15, 2021 The Internet of Things has been around for a few years now and many businesses and organizations depend on data from these systems to make critical decisions. At the same time, it is…
In the news | Microsoft Research India Podcast
Podcast: Dependable IoT- Making data from IoT devices dependable and trustworthy for good decision making
The Internet of Things has been around for a few years now and many businesses and organizations depend on data from these systems to make critical decisions. At the same time, it is also well recognized that this data- even…
How can generative adversarial networks learn real-life distributions easily
| Zeyuan Allen-Zhu and Yuanzhi Li
A Generative adversarial network, or GAN, is one of the most powerful machine learning models proposed by Goodfellow et al. (opens in new tab) for learning to generate samples from complicated real-world distributions. GANs have sparked millions of applications, ranging…
Econ3: Understanding the media ecosystem and how it informs public opinion in the internet age featuring Hunt Allcott and David Rothschild
Interviewed by Senior Principal Researcher Hunt Allcott, Economist David Rothschild discusses how the news media has evolved alongside social media and the internet, from story development to distribution of news via aggregators and wire services. Rothschild illuminates how and where…
Most videoconferencing platforms enable attendees to post text, images, files, links etc. in a meeting chat pane or window simultaneously with audio/visual (A/V) modalities. remote This parallel chat is typically open to all meeting invitees and flows concurrently with the…
Despite low confidence users comprising a significant percentage of computer users, they tend to be underrepresented in our research channels. If we want less confident users to achieve more (and perhaps increase their confidence), we must include them in our…
Building stronger semantic understanding into text game reinforcement learning agents
| Matthew Hausknecht, Karthik Narasimhan, and Shunyu Yao
AI agents capable of understanding natural language, communicating, and accomplishing tasks hold the promise of revolutionizing the way we interact with computers in our everyday lives. Text-based games, such as the Zork series, act as testbeds for development of novel…
Breakfast at Muriel’s
Hi, I’m Frazier, part of the Quality Assurance team at Microsoft Soundscape. Today I wanted to share a memorable experience that I had while using Soundscape. I was on the train to London Paddington with Steven Abrams, the Quality Assurance…
高睿：行我所爱，做追逐“月亮”的幸运儿
编者按：在微软已有17年开发经验的高睿最感兴趣的工作就是“摆弄代码”。他说：技术开发是我的目标，我愿意在计算机领域继续做下去，一直做到不能做了为止。而微软亚洲研究院独特的文化是他能够安心、专心地研究技术的重要原因，他喜欢这里开放、包容的环境，也喜欢和优秀科研人共同探索的感觉。 “有多少人只是胆怯地抬头看一眼月亮，又继续低头追逐赖以温饱的六便士。”能够一直追逐自己那轮“月亮”的人，何其有幸，可以坚持...