ISSA Hampton Roads Chapter
Tuesday, July 13, 2021
Join the ISSA Hampton Roads Chapter ONLINE!
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For a presentation
“Knowledge Engineering Using Ontologies:Exploring How We Teach Our Artificial Intelligence”
Founder and CEO, Amplio.ai
Capture knowledge from human beings and teach that knowledge to machines
We will discuss the field of Knowledge Engineering using ontologies, exploring how we teach our Artificial Intelligence (AI). There is a large body of research exploring how children learn. Educators spend a lot of time developing curriculum to ensure our kids acquire the knowledge and skills they need for success in the adult world. Artificial Intelligence is playing an increasingly vital role in our lives, from disease mapping and preventative health care to manufacturing and financial investment. Yet we are not doing enough to ensure Artificial Intelligence is adequately trained for these tasks. In other words, we do not spend enough time developing the training data sets we use to enable AI automation. We already have a wealth of knowledge on how to teach children; we can apply this knowledge to the development of models for training AI. We will look at Machine Learning to understand what is currently happening and to predictwhat might happen based on observed data feeds and advanced predictive models used.
Mr. Trung Tran is a former DARPA as a program manager in the Microsystems Technology Office in October 2015- August 2017. Tran earned a BSEE from the US Air Force Academy and an MBA from Wharton- UPENN. While in the Air Force, he was stationed at Fort Meade and Hanscom AFB working under AIA. He developed cryptographic chips and command and control networks which focused on reducing time between sensor and shooter. He received 4 medals for his work in these areas. He has spent the last 15 years in Silicon Valley developing products which range from 100G Top of the Rack Switches, 1U Server Blades, and semiconductors including FPGAs, Memory, PHYs, and Framers. He is a former Vice Chairman of the JEDEC Board of Directors where he worked on the development of DDR3 and FBDIMM specifications. His interest included machine learning, data analytics, and non-conventional computer architecture.