
AR-BIC 2020: Artificial Intelligence (AI) in Arkansas (AR)
6th Annual Conference
Monday, February 10 – Tuesday, February 11, 2020
Conference Center, Wyndham Riverfront Little Rock
North Little Rock, Arkansas
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The Arkansas Bioinformatics Consortium (AR-BIC) is comprised of major research universities in Arkansas (including Arkansas State University, University of Arkansas, University of Arkansas at Little Rock, University of Arkansas for Medical Sciences, and University of Arkansas at Pine Bluff) plus the U.S. Food and Drug Administration’s National Center for Toxicological Research (NCTR). AR-BIC 2020 will be the 6th annual conference, and it will focus on artificial intelligence (AI) research and applications in Arkansas. The one-and-a-half-day event will be held at Wyndham Riverfront Little Rock, February 10-11, 2020.
AI is a broad concept of training machines to think and behave like humans. It consists of a wide range of statistical and machinal learning approaches with a specific emphasis on learning from existing data and information to predict future outcomes. The concept of AI was introduced in the 1950s, and its critical role in a broad range of applications has yet to be fully realized. As new AI methodologies — such as deep learning that extract complex patterns from new data streams and formats — are increasingly adopted, they generate information beyond conventional, tabular data, such as imaging.
AR-BIC 2020 will present the basic concepts and methodologies of AI, along with their advanced applications in biomedical research, food safety, drug discovery and development, and clinical settings. In addition, the consortium will provide a platform for networking and collaboration in the area of AI.
Agenda
Day 1, Monday, February 10th
1:00 pm – 1:10 pm |
Welcome Remarks
|
1:10 pm – 4:00 pm |
Introduction to Artificial Intelligence (AI) Co-Chaired by Weida Tong (NCTR) and Brian Berry (UALR)
|
4:00 pm – 5:00 pm |
Artificial Intelligence: A Perspective from the National Science Foundation (NSF) Balakrishnan Prabhakaran, NSF, USA |
5:00 pm – 7:30 pm |
Poster Presentations and Reception |
Day 2, Tuesday, February 11th
8:30 am – 9:30 am |
An Introduction to Transfer Learning for Predictive Medicine, with Cautionary Tales Cesare Furlanello, FBK, Trento, Italy |
9:30 am – 12:00 pm |
Session 1: ARA Academy on AI Chaired by Doug Hutchings and Bryan Barnhouse, ARA
|
12:00 pm – 1:00 pm |
Lunch Break |
1:00 pm – 2:00 pm |
Session 2: Imaging and Radiomics Co-Chaired by Douglas Rhoads (UA) and Fred Prior (UAMS)
|
2:00 pm – 2:30 pm |
Coffee Break |
2:30 pm – 4:10 pm |
AI/Machine Learning in Biomedical Research
|
4:10 pm – 4:30 pm |
Poster Awards Presentation and Concluding Remarks |