News & features
In the news | GitHub
EconML Code Release v0.7.0
This is a major release, see release notes here.
In the news | SIGCHI
Dumais receives SIGCHI Lifetime Research Award
A common theme that runs through her work is the importance of understanding and improving information systems from an interdisciplinary and user-centered perspective. She is a co-inventor of Latent Semantic Analysis, a well-known word embedding technique, which was designed to…
In the news | Microsoft Innovation
A Planetary Computer for Earth
Microsoft AI for Earth combines user-friendly software tools with cloud-based artificial intelligence to empower organizations and individuals working to advance sustainability around the globe.
In the news | La Vanguardia
Fixed contracts are going down in history
When I started working at Microsoft, we were worried that work automation would leave people jobless…
In the news | Financial Times
Novartis and Microsoft join forces to develop drugs using AI
Microsoft will work on new tools intended to make it easier to apply AI to all areas of the Swiss pharmaceutical company’s business, from finance to manufacturing.
In the news | Microsoft News
Novartis and Microsoft announce collaboration to transform medicine with artificial intelligence
Novartis today announced an important step in reimagining medicine by founding the Novartis AI innovation lab and by selecting Microsoft Corp. as its strategic AI and data-science partner for this effort.
In the news | El Pais
Mary Gray: “Today’s economy depends on ‘ghost workers'”
The author and Mary Gray argues that platform work could make the work of hundreds of millions of people invisible and that this tends to alienate and precarious their situation. Ask for new laws and a new social contract…
In the news | C-SPAN
MIT Work of the Future | Mary L. Gray discusses “Ghost Work”, the workforce that drives large tech companies
Mary Gray talked about her book, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass, in which she reported on the workforce that drives large technology companies like Amazon, Google, and Uber.
Machine reading comprehension with Dr. T.J. Hazen
The ability to read and understand unstructured text, and then answer questions about it, is a common skill among literate humans. But for machines? Not so much. At least not yet! And not if Dr. T.J. Hazen, Senior Principal Research…