by admin | Mar 14, 2025 | Predictive modelling, AI
Partners from UPM are working on the providing the sub- component that is responsible for graph queries and time series databases, building and analysing graphs using machine learning for anomaly detection, predictive modelling, and root cause failure analysis. This...
by admin | Mar 14, 2025 | cognitive computing, AI
The Cognitive Engine employs a self-hyperparameter tuning subcomponent to iteratively optimize complex black-box functions in a decentralized manner. In ACES, this enables the efficient configuration of swarming algorithms, with Python-based software that includes...
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...
by admin | Mar 14, 2025 | AI, Artificial Intelligence, Cloud
The swarm intelligence scheduler simulates a multi-agent system using the MESA library in Python to analyse resource utilization and queue lengths over configurable time steps and traffic densities. It optimizes scheduling by leveraging slack resources from rigid pods...
by admin | Mar 14, 2025 | AI, Artificial Intelligence, Cognitive Edge-Cloud Services
The ACES consortium is driving impactful progress in Work Package 5 (WP5), integrating advanced edge services into energy management systems for real-world grid applications. As the project enters its final validation phase, efforts are centered on three priorities:...
