Date: Wednesday 5 June 2024
Time: 12:00 - 13:00
Venue: Room 211, Building O, Campus Hub or Online ()
Speaker: Mr Xandru Mifsud - Department of Communications & Computer Engineering, Faculty of 福利在线免费 and Communication Technology (ICT), University of Malta
Registration to this event is available .
Abstract
Even in today's digital landscape, manual paperwork in accounting tasks still remains prevalent. This presents a significant hurdle to automation, impacting process efficiency and costs. Commercial solutions often offer limited functionality, requiring frequent human intervention or highly skilled personnel. This means that many small businesses cannot afford such solutions, and therefore rely on manual workflows.
The Automated Document Analysis and Classification for Enhanced Enterprise Efficiency (ADACE3) project, funded by the Malta Council for Science and Technology (MCST), aims to address these challenges. By harnessing cutting-edge artificial intelligence algorithms such as self-supervised learning and joint vision-language models, specifically LayoutLM, the project seeks to develop a system that significantly reduces human intervention and is more accessible to small businesses in terms of cost and usability.
Speaker Bio
Xandru Mifsud possesses a B.Sc. in Mathematics and Computer Science, coupled with experience in the logistics industry. He is currently an RSO I and Masters student at the University of Malta, forming one of many team members on the ADACE3 project.
