Shift work sleep disorders (SWSDs) are associated with the high turnover rates of nurses, and are considered a major medical safety issue. However, initial management can be hampered by insufficient awareness. In recent years, it has become possible to visualize,…
https://www.microsoft.com/en-us/worklab/work-trend-index
Episode 010 | September 28, 2021 Artificial intelligence, Machine Learning, Deep Learning, and Deep Neural Networks are today critical to the success of many industries. But they are also extremely compute intensive and expensive to run in terms of both…
The Research for Industry track will discuss the data-driven future of Industry, and the interdisciplinary research opportunities in various industries, such as space, Telco's, energy, supply chain, agriculture, food, financial services and entertainment. Hear about our innovations, and thoughts from…
| Saurabh Tiwary and Lidong Zhou
Today, we are excited to announce that with our latest Turing universal language representation model (T-ULRv5), a Microsoft-created model is once again the state of the art and at the top of the Google XTREME public leaderboard (opens in new…
Awards | Max-Planck-Gesellschaft
The 2021 Max Planck-Humboldt Medal was awarded to Anastassia Alexandrova from the University of California, Los Angeles, and to Sumit Gulwani from the Microsoft Corporation in Redmond. Gulwani is honored for his significant contributions to software development, for example, automatic…
In the news | Penn State
Although female giraffes have closer “friends” than male giraffes, male giraffes have more “acquaintances” than females, according to a new study by an international team that includes a Penn State biologist. The study demonstrates that giraffes form a complex multilevel…
In the news | Medium
A curated list of popular OpenSource AutoML frameworks. This list includes FLAML, a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically.
The world has a nutrition problem, and we see value in driving progress toward personalization of the dietary intake to prevent or treat chronic diseases, based on age, race, gender, DNA, health history, and lifestyle.