Research Scientist, Cognitive Datascience, IBM Research - Dublin, Ireland
Vincent is a researcher at IBM Research Ireland. His work aims to push the boundaries of what is possible with AI. His recent work focusses on using deep learning for visual recognition and scene understanding in open-world setting.
He also specializes in applying machine learning models to physical systems including renewable energy, transportation, and atmospheric dynamics. He has worked on multiple client engagements including an grid-forecasting project in vermont, recently nominated for the Royal Irish Academy AmCham innovation award.
Vincent obtained his PhD in physics and finance from the University of Arizona in 2011. He has conducted research at Princeton University in NJ, CNRS in France, and Leiden University in the Netherlands.
About his talk
Building AI you can Trust
Recent breakthroughs in AI have captured the imagination of the public and business leaders alike due to the potential of AI to impact virtually every sector of industry.
Delivering on this potential requires emphasizing the reliability and quality of AI-based systems. How do you know if you can trust a system that uses machine learning?
First, I will give an introduction to AI and some of the reasons to be excited. Then, I will share lessons learned in building AI solutions, discuss how to assess the quality of those solutions, and build trust in applications that use AI.