Topic of Research Seminar: Transformers: Revolutionizing automatic text understanding
Abstract: Transformers are among the go-to models in Artificial Intelligence these days. The capability of Transformers to swiftly adapt to new tasks, often known as transfer learning, is one of the primary reasons they were able to quickly overtake most AI leaderboards and revolutionise the AI sector. In this talk, we highlight the capability of Transformers and how they quickly became helpful for other tasks ranging from vision or audio and music applications all the way to playing chess or doing math!
Subject Field of Topic: Deep Learning
Name of Speaker: Prof. Dr. Adrian Ulges
Professorial Rank of Speaker: Computer Science Professor in RheinMain University of Applied Sciences (HSRM), Wiesbaden, Germany.
University Email of Speaker: Adrian.Ulges@hs-rm.de
University Profile weblink: https://www.hsrm.de/de/hochschule/personen/ulges-adrian
Affiliation of Speaker: International
Date and Venue: 14 September 2022, Seminar Hall, NUST School of Electrical Engineering and Computer Science (NUST-SEECS)