Gainesville, FL October 16-18 On October 16 to 18, the NSF CBL Center will hold its 2019 Fall Meeting at UF’s Emerson Alumni Hall, Room 401. Register by Monday September 30 using one of the two options listed on the… Read More
On May 30 and 31, the NSF CBL Center will hold its 2019 Spring Meeting in Kansas City. Register by Friday May 24.
Joint work of University of Florida, Illumina, Stanford, Harvard, and TTI. Laksshman Sundaram*, Hong Gao, Samskruthi Padigepati*, Jeremy McRae, Yanjun Li*, Jack Kosmicki, Nondas Fritzilas, Jörg Hakenberg, Anindita Dutta, John Shon, Jinbo Xu, Serafim Batzoglou, Xiaolin Li, Kyle Farh, Predicting the… Read More
CBL Semiannual Meeting (Fall) will be held at the University of Oregon’s Ford Alumni Center on November 27 and November 28, 2018. Date: November 27 and November 28, 2018 Location: Ford Alumni Center, Eugene, OR [Homepage] 1720 E 13th Ave,… Read More
We are very excited to announce the official launch of National Science Foundation Center for Big Learning (CBL). With the great support from our Industry Partners, NSF and tremendous efforts from our administrators, students, staff, and faculty at four sites (UF,… Read More
CBL Planning Meeting Date: March 9-10, 2017 Location: Hilton University of Florida Conference Center, Gainesville, FL [Link] Day 0 (March 8, Wednesday) 6:30pm-8:30pm, Welcome Reception Day 1 (March 9, Thursday) 8:00am-6:00pm, Sessions; 6:30pm-8:30pm Banquet Day 2 (March 10, Friday) 8:00am-1:00pm,… Read More
Researchers Bring Machine Learning Closer to Human-Like Performance Researchers have introduced a computer model that learns a new concept much like humans do, from a single or very few examples. [AAAS News] [Paper in Science], highlighted on the cover page,… Bayesian Program Learning Framework
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.