The 2023 Halloween Dublin Machine Learning Meet Up took place recently in the EY Wavespace in the EY Building, Dublin, on the 23rd October. Three speakers presented at the event exploring a number of Machine Learning (ML) topics for the audience.
Speakers included:
Dimitri Saridakis opened the event with an exploration of the world of “Distributed Training of Gen AI Models with Open Source.” Through his talk, he examined how open source tools are revolutionising AI training, making models smarter and scalable.
Following this presentation, Purvika Bajaj and Imogen Lawlor presented on the topic “Decrypting Financial AI: Illuminating the Black Box”. In their talk they analysed and demonstrated techniques applied in financial institutions today and where the next generation of AI will lead.
Finally, ADAPT’s Ruairi O’Reilly, a lecturer whose research focuses on integrating automated analytics into workflows requiring expert knowledge, closed the event. His primary application domain is in E-health, combining artificial intelligence, machine learning and distributed systems into scalable clinical workflows. Ruairi spoke at length on the topic “Decoding the Metrics: Evaluating the Authenticity of Generatively Synthesized Biomedical Imagery” which was based on his work with his current PhD and MSc students in MTU.
The Machine Learning MeetUps are a last-Monday-of-the-month meetup group open to professionals and students interested in Machine Learning. There are presentations by selected guest speakers on different topics, as well as providing a great opportunity to meet like minded people, researchers, engineers from industry and academia for networking. For more information, access their website here: http://mldublin.github.io/
Join us on the 27th November at the Long Room Hub when the next Machine Learning Meet-up will be hosted by the Human + team. If you are interested in speaking or sponsoring this event, please contact [email protected].
Photos from the event:
Pictured: Dimitri Saridakis opens the event with an exploration of the world of “Distributed Training of Gen AI Models with Open Source”.
Pictured: Purvika Bajaj (first photo) and Imogen Lawlor (second photo) presenting on the topic “Decrypting Financial AI: Illuminating the Black Box”.
Pictured: ADAPT’s Ruairi O’Reilly, closes the event with the presentation “Decoding the Metrics: Evaluating the Authenticity of Generatively Synthesized Biomedical Imagery”.
