The data in the Microsoft Academic Graph makes it possible to gain analytic insights about any of the entities in our knowledge graph: fields of study, authors, author affiliations, journals, and conferences. In this series, we present analytic insights about…
Awards | OPTiC: Opportunistic Graph Processing in Multi-Tenant Clusters
https://www.computer.org/publications/tech-news/events/ic2e-iotdi-2018-cloud-computing-internet-of-things
The notion of an “uncanny valley” is well known in robotics[1]. This is when increasing the realism of a robot’s human-like appearance can lead to feelings of unease—or even revulsion—as a robot becomes more and more (but never quite fully)…
Episode 20, April 18, 2018 - In a world where humans are increasingly interacting with AI systems, Dr. Mary Czerwinski, Principal Researcher and Research Manager at Microsoft Research, believes emotions may be fundamental to our interactions with machines. And through…
In the news | Microsoft Research Podcast
Emotions are fundamental to human interaction, but in a world where humans are increasingly interacting with AI systems, Dr. Mary Czerwinski, Principal Researcher and Research Manager of the Visualization and Interaction for Business and Entertainment group at Microsoft Research, believes…
In the news | Science News
There may be such a thing as 'too realistic' when it comes to virtual touch.
| Vikram Dendi
At RSA Conference 2018, Microsoft announced Azure Sphere, previewing a unique new solution to help connect and secure the most populous category of computing today: the tens of billions of devices powered by microcontrollers (MCUs). Azure Sphere represents an opportunity…
The Microsoft Academic Graph that powers Microsoft Academic is updated on a weekly basis to ensure data coverage and accuracy. You can always see the current numbers on our homepage, and we document them on this blog once a month.…
| Dan Bohus
Over the last decade, advances in machine learning coupled with the availability of large amounts of data have led to significant progress on long-standing AI challenges. In domains like computer vision, speech recognition, machine translation and image captioning, machines have…