뉴스 & 기능
Introducing Garnet – an open-source, next-generation, faster cache-store for accelerating applications and services
| Badrish Chandramouli
Garnet is a cache-store system that addresses growing demand for data storage to support interactive web applications and services. Offering several advantages over legacy cache-stores, Garnet is now available as an open-source download.
Project Orleans and the distributed database future with Dr. Philip Bernstein
Forty years ago, database research was an “exotic” field and, because of its business data processing reputation, was not considered intellectually interesting in academic circles. But that didn’t deter Dr. Philip Bernstein, now a Distinguished Scientist in MSR’s Data Management,…
Microsoft Unveils FASTER – a key-value store for large state management
At SIGMOD 2018, a team from Microsoft Research will be presenting a new embedded key-value store called FASTER, described in their paper “FASTER: A Concurrent Key-Value Store with In-Place Updates”. As its name suggests, FASTER makes a major leap forward…
Collecting telemetry data privately
| Bolin Ding, Janardhan (Jana) Kulkarni, 그리고 Sergey Yekhanin
The collection and analysis of telemetry data from users and their devices leads to improved user experiences and informed business decisions. However, users have concerns about their data privacy, including what personal information software and internet companies are gathering and…
뉴스에서 | China Daily
Microsoft, IBM eye technology to forecast air pollution in China
Yu Zheng, a researcher at Microsoft, told China Daily that technology companies like Microsoft ‘can leverage their computing infrastructures, data management, analytics tools and knowledge in data science to help forecast air pollution.’
The AI 2000 Most Influential Scholar Annual List will name 2,000 of the world’s top-cited research scholars from the fields of artificial intelligence over the next ten years (2020 – 2029).
뉴스에서 | Yelp
Grand Prize in Yelp Dataset Challenge
His ‘Mining Quality Phrases from Massive Text Corpora’ research was a Round Four winner.
Advances in cognitive computing—machines programmed to improve modeling on their own—allow more sophisticated forecasting software to provide predictions for the air quality index.
뉴스에서 | GeekWire
As pollution in Beijing reaches extreme levels, here’s what Microsoft Research is doing to help
Urban Air, a project developed by Microsoft researchers, is an interactive map that lets users see air quality levels across 72 cities in China.