What are the biases in my data?
| Adam Tauman Kalai
One challenge with AI algorithmic fairness is that one usually has to know the potential group(s) that an algorithm might discriminate against in the first place. However, in joint work with Maria De-Arteaga, Nathaniel Swinger, Tom Heffernan, and Max Leiserson,…
Competing in the X Games of machine learning with Dr. Manik Varma
Episode 63, February 13, 2019 - Dr. Varma tells us all about extreme classification (including where in the world you might actually run into 10 or 100 million options), reveals how his Parabel and Slice algorithms are making high quality…
如何写好一份研究计划？
编者按：对于研究者而言，撰写研究计划必不可少，但是写好一份研究计划却并不容易。如何撰写出色的研究计划？撰写过程中有哪些注意事项？本文将为大家梳理研究计划的评判标准，以及撰写过程中可能出现的问题。 本文编译自微软研究院文章How to write a great research proposal。 写研究计划要做的第一件事，也是最显而易见的事，就是阅读资助机构的建议，例如计算科学研究领域最重要的资...
In the news | Microsoft News
Empathy and innovation: How Microsoft’s cultural shift is leading to new product development
The young Microsoft software engineer had just moved to the U.S. and was trying her best to stay in close touch with her parents back home, calling them on Skype every week. But their internet connection in India was poor,…
In the news | Fast Company
This is Microsoft’s AI pipeline, from research to reality
On the most fundamental level, ensuring that Microsoft AI innovations benefit Microsoft customers is about making sure that research and product teams aren't siloed off from each other.
In the news | Fast Company
This is Microsoft’s AI pipeline, from research to reality
FPGA technology allows Microsoft to deliver highly efficient deep learning as a service in a way that addresses specific customer requests. “A lot of the problems that they want to solve are around image analysis,” says Ted Way, senior program…
In the news | Fast Company
This is Microsoft’s AI pipeline, from research to reality
It’s not enough to have brilliant researchers and a bunch of popular products. You’ve got to have a system–or several systems–for melding raw technology into experiences that make a difference for businesses and consumers.
Everything you always wanted to know about extreme classification (but were afraid to ask)
Varma’s team published a paper that exploded the number of choices that could be considered from a search engine from five thousand to ten million. This changed the nature of the game and led to the establishment of a new…