Mobile devices, of all shapes and forms, are the fastest-growing computing segment. While mobile devices are ubiquitous, they offer limited computation, storage, and power. Cloud computing promises to fill this gap by providing computation and storage to mobile devices connected to the network. Project Hawaii (opens in new tab) enhances the mobile and cloud environments with web services to enable interesting application scenarios possible only with this combination, specially tailored for teaching at university level. Developed by Microsoft Research, Project Hawaii offers tools and resources tailored to the needs of today’s computer science students and instructors.
A key component of this project is engaging with universities around the world. This enables professors and students to work on projects reflective of the increasingly interconnected relationship between mobile devices and the cloud. To make project-based teaching and learning easier, Microsoft Research is providing instructors with access to an array of resources, including sample code, extra training materials, web services not generally available, Visual Studio, the mobile phones on which the applications are run (Windows Phone), and Microsoft’s cloud-computing platform, Windows Azure.
To date, three professors at major universities have completed semesters using Project Hawaii, and seven more are active this semester-more information is at the project website above. To further share information about the project, we’re hosting an invitational event in conjunction with ACM MobiCom 2010, the 16th annual international Conference on Mobile Computing and Networking, being held September 20-24 in Chicago, IL. To learn more about participating in Project Hawaii as an instructor yourself, please contact (opens in new tab) us.
Spotlight: Blog post
Eureka: Evaluating and understanding progress in AI
How can we rigorously evaluate and understand state-of-the-art progress in AI? Eureka is an open-source framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings. Learn more about the extended findings.
–Victor Bahl (opens in new tab), principal researcher and manager, Networking Research Group (opens in new tab), Microsoft Research Redmond
–Arjmand Samuel (opens in new tab), research program manager, External Research, a division of Microsoft Research