Newsletter D3.2 marks a major milestone in accelerating hardware innovation at the edge, and it’s anything but ordinary.  🔍 What’s inside:  Neuromorphic processors (Innatera): Ultra-low power SNPs inspired by the brain, running PyTorch models for digital twins & AR retail.  Optical Neural Networks (TU Eindhoven): Light-speed inference with 100× better energy efficiency.  AI SoCs (Synopsys):…

Did you know that Data Confidence Fabrics (DCFs) are revolutionizing how we ensure trust in distributed systems? The Alvarium framework (backed by the Linux Foundation) is leading the charge by decoupling security metadata (“annotations”) from data, enabling scalable, transparent trust evaluation across heterogeneous networks.🛑 MYTH: Secure, trusted data pipelines must come with high overhead.✅ FACT:…

As Beyond 5G (B5G) networks evolve toward zero-touch automation, one critical question emerges:  When should AI/ML models be retrained to keep up with dynamic traffic and avoid SLA violations?  🚨 The CLEVER Project introduces a predictive retraining approach—using unsupervised learning to decide when to retrain AI/ML models deployed in Open RAN (O-RAN) systems. The goal:…

CLEVER-project is at #ICTON2025, with partners from #CNIT.   Come to our talk or exploit the breaks to share a fruitful discussion about our most recent developments!  

In an era of real-time data and rapidly evolving urban dynamics, concept drift is a silent killer of AI accuracy. As patterns shift (think lockdowns, weather anomalies, or energy crises), traditional models fail.  As part of the CLEVER Project, we introduce a resilient, containerized edge computing architecture (EMDC) that automatically detects and adapts to concept…