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Center for Big Learning (CBL)

University of Florida

University of Missouri Kansas City

University of Oregon

Last Reviewed: 08/07/2019

Center Mission and Rationale

NSF Center for Big Learning (CBL) is under the auspices of the Industry & University Cooperative Research Center (IUCRC) Program of National Science Foundation. With the vision of creating intelligence and leveraging collective wisdom from academia, industry, and governments, the CBL consortium focuses on large-scale deep learning (DL), intelligent platforms, and DL-enabled big data applications in a broad spectrum of disciplines. CBL is composed  of three academic sites across the country and a large number of industry partners: University of Florida (UF, East), University of Missouri at Kansas City (UMKC, Central), and University of Oregon (UO, West). Faculty members at these three sites have the comprehensive expertise, covering key research themes and application disciplines. The consortium is sponsored by NSF and industry members over the world.

The mission of the NSF Center for Big Learning (CBL) is to explore and pioneer research frontiers in emerging large-scale deep learning for a broad spectrum of big data applications, design novel intelligent platforms to enable big learning research and applications, transfer research discoveries to meet urgent needs in industry with our diverse center members, and nurture our next generation talents in a mixed academic and industry setting with real-world relevance and significance via the industry-university consortium.

Research program

Big Learning

Twenty projects were funded in Year 1.  Research areas include Models and Algorithms, Systems and Platforms, and Applications (General, Business, Cybersecurity, Health and Biology, NLP, Vision, IOT, and Robotics).

Locations

University of Florida

434 NEB
1064 Center Drive

Gainesville, Florida, 32611

United States

University of Missouri Kansas City

FH560E
Dept of Computer Science & Electrical Engineering

Kansas City, Missouri, 64110

United States

University of Oregon

Deschutes Hall, Room 303
Computer and Information Science

Eugene, Oregon, 97403

United States