FAU To Build First NSF-funded AI And Deep Learning Laboratory In Florida

Artificial Intelligence News

FAU_To-Build-First-NSF-funded-AI-And-Deep-Learning-Laboratory-In-Florida FAU To Build First NSF-funded AI And Deep Learning Laboratory In FloridaIn partnership with Florida Atlantic University’s Schmidt College of Medicine researchers and FAU ’s Harbor Branch Oceanographic Institute, FAU’s College of Engineering and Computer Science has acquired a total sum of USD 652,820 grant from the NSF (National Science Foundation). This grant is to set up the first NSF-funded Major Research Instrumentation (MRI) Artificial Intelligence and Deep Learning (AIDL) Training and Research Laboratory in Florida. NSF’s MRI program serves to fuel access to multi-user scientific and engineering instrumentation for research and research training in institutions of higher education and non-profit scientific/engineering research organizations in the US.

FAU’s AIDL laboratory, hosted at the university, will be shared across manifold campuses and research disciplines and will enhance the FAU’s role in AI and Deep Learning-powered intelligent information analysis. Ph.D., dean of FAU’s College of Engineering and Computer Science, Stella Batalama stated that this significant NSF grant will allow his team to build an infrastructure for a deep learning platform for health, bio-medicine, web services, and ocean research, with other related domains at Florida Atlantic University. He further noted this laboratory will offer a training center for his university and industry partners to work closely on improving AI applications to kindle South Florida’s technical innovations and task force development that will eventually benefit economic growth in this region.

FAU’s AIDL laboratory infrastructure features a GPU (Graphics Processing Unit) cluster, a computer cluster that allows the performance of very fast calculations, and comprises 18 GPU servers and 72 Nvidia Tesla V-100 GPU cards and a 38.4 Terabyte flash memory server. The GPU cards are among the world’s best technology for AI and deep learning. This project will almost quadruple the number of GPU cards at FAU from 31 to 103 cards and will boost the onboard GPU memory 6-times from 381GB to 2,304 GB.