Tools and technologies for computer scientists who dream the future
By providing Windows Azure cloud resources to academic teams, the Cloud Research Engagement project strives to facilitate access to and management of scientific data collections and analytic cloud services for a variety of disciplines.
To advance research and education in mobile and cloud computing, classrooms are equipped with novel environments for programming touch devices and researching the development of new devices and services.
Human motion tracking, voice recognition, and depth sensing are becoming more common in tools that use technologies like Kinect for Windows-now available for use in commercial applications as well as for research and teaching.
Machine learning and artificial intelligence become more sophisticated with the growing availability of improved methods for comparing machine learning algorithms and access to new environments and services for big and broad data.