Join us for a webinar on January 26 from 1:00 – 2:00 PM ET. Dr. Paul Gader from the University of Florida will discuss some of the inherent and difficult flaws in current Artificial Intelligence practices and use examples from environmental sensing to identify methods for mitigating those flaws.
Click here to reserve your spot for the webinar on January 26 from 1:00 – 2:00 PM ET.
Abstract
Artificial Intelligence (AI) has been investigated since the 1940s, before there were electronic computers and became a research field in 1956 at a workshop at Dartmouth where the term “Artificial Intelligence” was first used. There have been many disappointments in the quest to build AI systems; however, the last 10 years, extraordinary capabilities have been demonstrated. The building blocks for AI are High-Performance Computers and Big Data which are used to estimate parameters of, or train, algorithms called Artificial Neural Networks (ANNs) to execute AI related functions. The amount of data required to train an ANN increases as the number of parameters increases. Big Data allows ANNs to have many layers, so they are called Deep Networks and Deep Learning refers to training Deep Networks. Deep Networks and Deep Learning have become overly hyped with many who extol their virtues and few that describe the weaknesses. Unfortunately, they can be unstable and produce bizarre outputs. This talk covers inherent and difficult flaws in current AI systems and some methods for mitigating the flaws. Examples from environmental sensing will be given.
Meet the Presenter
Paul Gader received his Ph.D. in Math in 1986. He is professor and former Chair of Computer and Information Science and Engineering and an affiliate Professor in Environmental Engineering at the University of Florida. He has been working on AI for multi-dimensional signal and image analysis since 1984. Dr. Gader has processed data from many sensors, including Radar, Acoustic-Seismic and Underwater Acoustic, Thermal, and Multi/Hyperspectral sensors. He chaired the IEEE Workshop on Hyperspectral Image and Signal Processing (WHISPERS) in 2013 and gave tutorials on sub-pixel analysis at WHISPERS in 2016 & 2018. He has worked with neural networks since 1990. Dr. Gader has published many papers and was named a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) in 2011.
Related news
Webinar: SECOORA Data Portal Demo
Join us on Thursday, February 20, 2025 at 1:00 PM ET to learn more about the SECOORA Data Portal and how to navigate it. Axiom Data Science will be providing an overview of the portal, including how to search the Catalog and make a custom data view.
Meet the Winners of the Surface Elevation Table (SET) Call for Proposals
SECOORA hosted a request for proposals for the installation of new Surface Elevation Table (SET) stations or the reactivation of historic SET stations within the Southeast region. This opportunity covers the cost of materials and supplies for the stations. Meet the winners here!
Meet the Winners of the 2024 Vembu Subramanian Ocean Scholars Award
Four winners were selected for the Vembu Subramanian Ocean Scholars Award, which is an annual funding opportunity to support students and early career professionals to present their research at a conference or meeting.