Physics-based Manipulation with and Around People
Robots manipulate with super-human speed and dexterity on factory floors. But yet they fail even under moderate amounts of clutter or uncertainty. However, human teleoperators perform remarkable acts of manipulation with the same hardware. My…
Equal parts passion and skill key to Microsoft Research high school intern projects
In a group — Microsoft Research — where most of the researchers have PhDs, what can high school students contribute? How can Microsoft contribute to high school students? Those questions were answered this summer, when…
Accelerating data science at the Alan Turing Institute with Microsoft Azure
Researchers at the Alan Turing Institute in the United Kingdom are using artificial intelligence and machine learning to push the state of the art in data science to better understand what makes us happy, angry…
On-device ML for Object and Activity Detection
To process data locally, we have accelerated ML computations via ASICs that incorporate efficient pipelining and parallelism techniques. We have also compressed ML models by scaling their bit-precision values.
Pose Tracking with Wearable and Ambient Devices
Summary Analyzing human motion with high autonomy requires advanced capabilities in sensing, communication, energy management and AI. Wearable systems help us go beyond external cameras enabling motion analysis in the wild. However, such systems are still…
Measuring human happiness and frustration using data science in the cloud
Emotions make us human. Researchers at The Alan Turing Institute in the United Kingdom are using artificial intelligence and machine learning to push the state of the art in data science to better understand what…
Opportunities abound in the creative and collaborative culture of STEM
The explosion of data available today everywhere from biomedicine to the arts is opening new opportunities for researchers with backgrounds in science, technology, engineering and math to pursue creative and collaborative endeavors that have deep…
Tuning Data Center Performance with Machine Learning (Past Project – Completed)
We have built tools that help us accurately measure hardware performance metrics and have also developed machine-learning models that have enabled us to unravel the relationships between workloads and firmware settings.