by Luca Remotti | Jun 13, 2025 | Distributed Systems, Edge computing, Edge Continuum, Edge Systems for Energy Management, Electricity grid management, Electricity Production management
At EGI2025, the ACES team at the booth presents the full capabilities of the ACES Edge computing platform—an advanced, self-managing solution for distributed, data-intensive environments. Built on AI, swarm intelligence, and a decentralised architecture, ACES delivers...
by Luca Remotti | Jun 11, 2025 | Autopoietic, Cognitive Edge-Cloud Services, Edge computing, Edge Systems for Energy Management, Electricity grid management, Electricity Production management, Use Cases
At EGI2025, ACES takes the stage in the Demonstration Pitches session (10:45–11:00, Auditorium) with a presentation by Luca Remotti, lead of WP6 – Communication, Dissemination, Standardisation and Exploitation, in the ACES Research and Innovation Action...
by Luca Remotti | Apr 10, 2025 | Edge computing, Business Model, Energy Distributed Process Management, Powerful Edge, Technology Exploitation
During our meeting in Klagenfurt, we took the opportunity to discuss the joint approaches for creating an ACES Edge computing business model. Under the guidance of Luca Remotti and with the support of all teams, we laid out and defined a pathway to identify a minimum...
by Luca Remotti | Apr 9, 2025 | Cognitive Edge-Cloud Services, Edge computing
Our ACES Integration Workshop in Klagenfurt at Lakeside Labs, is in full swing. The focus is on building a unified, operational, and effective autopoietic ACES Edge computing solution. The workshop is highly interactive and engaging, and we’ve also initiated...
by admin | Mar 14, 2025 | Edge computing
A new paper from the ACES consortium – a collaboration between LAKE and SUPSI – has been accepted at the 9th IEEE International Conference on Fog and Edge Computing 2025 in Tromsø, Norway. From May 9-22, 2025, the paper: Neural Network-Enhanced...
by admin | Mar 14, 2025 | AI, Distributed Systems, Edge computing
The current focus of the UNIVERZA V LJUBLJANI for the given period of time is to provide sufficient and optimal work of the workload manager. This component manages workload actions for Smart AIOps entities, coordinating tasks like creating, deleting, moving, and...
