The Machine Learning Meet Up is a meetup group open to professionals and students interested in Machine Learning in any of its forms. There are presentations by selected guest speakers on different topics, and networking.
For Science Week there will be a special meetup at Beta Festival intending to bring together the existing community of people in Machine Learning with artists / creative practitioners who are interested in learning more about the work, research and practice of one another.
Malick Ebiele is an ADAPT PhD student based in University College Dublin (UCD) who will be presenting his recently accepted paper at the Conference of Knowledge Discovery and Information Retrieval (KDIR 2024). The paper, entitled "Personalization of Dataset Retrieval Results using a Data Valuation Method", proposes a metadata-based data valuation method to improve the results of dataset retrieval systems in terms of users’ satisfaction. The paper is the result of a collaboration between the ADAPT Centre and Tailte Éireann. Malick's paper has been nominated for best paper and best student paper so it's great to hear from the author himself.
Dr. Gary Mc Darby shows how a combination of intelligent sensors, an IOT network and data visualisation can give a City a real time indication of its Carbon Footprint and associated Air Quality in his presentation "Building a Real-Time Carbon Footprint and Air Quality Platform for Cities". Under the hood of this platform are state of the art, Edge AI algorithms, constantly looking for unusual behaviour in Climate and Weather measurements. This data is fed over a LoRa network to an Azure based data and visualisation platform. Gary is currently CEO and founder of a company called Edgeliot (a DCU Spinout) and a consultant working with the ADAPT Centre in Trinity College Dublin. He has a background in Electronic Engineering, Mathematics and DIgital Signal Processing and has over 20 years experience in startups and innovation
Cailean Finn, a media artist and creative technologist. His practice is centred around investigating computational aesthetics, histories, and processes embedded in socio-technological systems. Currently, he is exploring the emergent behaviours of computational systems; experimenting with simulations as a medium for these investigations.
Aisling Phelan is an Irish multi-disciplinary artist working across AI, 3D animation, photography, video, sculpture, virtual reality, and live interactive technologies. Her work delves into the complex relationship between our online and offline identities and aims to highlight the ethical concerns and vulnerabilities of digital representation.
Hashtag: #MLDublin. Twitter @DublinML
Website: http://mldublin.github.io/
