MLSysOps @ SuperScienceMe 2024 – EU Researcher Night

MLSysOps Project was present at the “EU Corner” of the SuperScienceMe 2024 – EU Researcher Night at the University of Calabria this September! Dr. Raffaele Gravina presented the objectives, ongoing activities, and current results of our project to the many interested attendees stopping by the project’s poster.

Dr. Gravina at SuperScienceMe 2024 - EU Researcher Night
Dr. Gravina at SuperScienceMe 2024 – EU Researcher Night
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Invited talk at the 2nd AIoTwin Summer School

Spyros Lalis of UTH gave a talk about “Elevating Drones as first-class citizens in the Cloud-edge-IoT continuum“at the 2nd AIoTwin Summer School, which took place on the 16th and 17th of September in Dubrovnik. The talk presented work done at CSL/UTH during the last years on drone-based systems and how drones can become part of modern system infrastructures to support advanced sensing/actuation applications. The talk also included a short presentation of the MLSysOps project and the smart agriculture use case which uses a drone in tandem with a tractor to improve weed detection and reduce the usage of pesticides.

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3rd MLSysOps Plenary Meeting

The 3rd MLSysOps plenary meeting took place in Dublin this month. Thank you to UCD for hosting us and to all the partners for joining with active participation, sharing current achievements, ongoing work and engaging discussions for the next steps in the project development.

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MLSysOps-related visit to IBM Research Ireland

Members of the decentralised AI systems lab of UCD (Dimitris Chatzopoulos, Joana Tirana, John Byabazaire, Vlasis Koutsos, Ioannis Panagiotidis, and Foivos Pournaropoulos – a visiting PhD student from University of Thessaly), one of the MLSysOps partners, visited IBM Research in Dublin on the 29th of May to discuss the overlap in their shared interest in employing AI techniques on the cloud. The agenda included topics around (i) the utilisation of cloud resources for training multi-parameter ML models, (ii) the design of an ML architecture for managing and orchestrating resources on the cloud-edge continuum, and (iii) the adaptive management of distributed applications in cloud-edge-mobile systems.
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