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The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the National Science Foundation.

Center Overview

With the vision of creating artificial intelligence and leveraging collective wisdom from academia, industry, and governments, the Center for Big Learning (CBL) consortium focuses on large-scale deep learning, intelligent platforms, and deep-learning-enabled Big Data applications in multiple disciplines.

The mission of 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 CBL's diverse members; and nurture the next-generation talents in a setting that mixes academic and industry with real-world relevance and significance via the industry-university consortium.


  • University of Florida
  • University of Missouri
  • University of Oregon
View Center Website

Center Personnel

Dejing Dou


Xiaolin Li


Zhu Li


Jose Prinicpe
Center Director
(352) 392-2662

Research Focus

CBL conducts research in the area of big learning, including:

  • Applications (general, business, cybersecurity, health and biology, natural language processing, vision, internet of things, and robotics).
  • Models and algorithms.
  • Systems and platforms.