MLSysOps was presented at Ubiwhere’s stand at the ITS European Congress by Ana Pereira, particularly showcasing Ubiwhere’s contribution and Use Case.

On May 10-11, 2023 we participated in the Concertation and Consultation Meeting on Computing Continuum organized by EUCloudEdgeIoT.eu and taking place in Brussels, Belgium..

Dr. Raffaele Gravina introduced our project to a gathering of experts on Cloud, Edge, and IoT computing and representatives of the European Commission.

Prof. Christos Antonopoulos gave a talk on “ML-managed compute systems: From the node- to the datacenter-level and beyond” at the Greek ECE Student Conference (ESECON), Apr. 21-23, 2023, Volos, Greece.

Profs. Christos Antonopoulos, Nikos Bellas and Spyros Lalis also presented a poster at the conference describing the MLSysOps project.

Prof. Giancarlo Fortino gave a keynote lecture titled “Integrating Machine Learning and Multi-Agent Systems for Fully Enabling Device-Edge-Cloud Continuum in Complex IoT Worlds” at the 8th International Conference on Internet of Things, Big Data and Security (IoTBDS 2023), April 21-23, 2023 – Prague.

We are pleased to announce the 1st International Workshop on Machine Learning for Autonomic System Operations in the Device-Edge-Cloud Continuum, taking place on September 25, 2023 at Rende, Italy, in conjunction with the International Conference on Embedded Wireless Systems and Networks (EWSN 2023).

The goal of the workshop is to bring together a community of researchers and practitioners who study problems at the intersection of AI/ML, autonomic and cognitive computing, D-E-C continuum, distributed system operation, and resilient application deployment.

For more information, please visit https://events.dimes.unical.it/mlsysops2023/

Hélio Simeão and Ana Pereira presented MLSysOps at Ubiwhere’s stands at the IoT Solutions World Congress, and the Mobile World Congress respectively, highlighting Ubiwhere’s contribution to the project.

UNICAL’s latest paper on Edge Intelligence (EI) titled “Disclosing Edge Intelligence: a systematic meta-survey” has been published in Big Data and Cognitive Computing. It offers valuable insights of EI systems. A must-read for anyone interested in the topic!

UNICAL’s latest paper titled “Compressed Sensing Approach for Physiological Signals: A Review” has been published in the IEEE Sensors Journal.

A review of edge computing-based applications and a discussion of future research directions related to AI and edge computing convergence,  titled “At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives“, has been published in Sensors. The work is a collaboration between researchers at LabSTIC Laboratory, ICAR-CNR and UNICAL.