SMARTY’s September 2025: A Month of Innovation in Edge Security
The SMARTY project advances trustworthy edge computing with groundbreaking innovations: 🔗 Explore the roadmap: SMARTY Project
0110, 2025
Tag Archives: AI
2509, 2025
🛡️ Breaking New Ground in Network Security: Inside SMARTY’s Cutting-Edge Framework for Trustworthy Edge Computing
The digital era demands unprecedented security, scalability, and intelligence in communication networks. In our latest milestone, the SMARTY project unveils the design and preliminary implementation of revolutionary secure networking solutions tailored for next-generation fibre-wireless ecosystems. This work lays the foundation for resilient, AI-driven infrastructures capable of thwarting evolving cyber threats while enabling seamless multi-stakeholder collaboration. 🔒 Core Innovations Highlighted: As 5G/6G networks converge with edge computing, vulnerabilities multiply. SMARTY’s integrated
2708, 2025
Semantic-Driven Interoperability, Embedded AI, and Hardware/Software Integration in SMARTY
Service Mediation via Semantic Web Mappings The SMARTY Project addresses interoperability challenges through declarative semantic-web based service mediation, resolving both syntactic and semantic mismatches across systems. Traditional any-to-any mappings require pairwise translations between systems, leading to scalability issues. Instead, SMARTY adopts an any-to-one approach, where a central RDF-based reference model serves as a semantic pivot. This approach ensures seamless integration across partners’ systems, critical for use cases like secure edge
2208, 2025
Semantic Management for Interoperable AI and Embedded Systems
The SMARTY Project addresses the challenge of interoperability across heterogeneous systems by leveraging semantic web technologies and structured metadata ontologies. This approach ensures seamless integration of hardware, software, datasets, and AI models in secure communication environments. Interoperability Framework Interoperability is achieved through a common metadata model that unambiguously describes digital assets—from hardware components to AI models. This model enables: A central asset catalog (developed in WP5) acts as a command
2807, 2025
Power Meets Security: SMARTY’s Ultra-Low Power Processor for PQC & Edge AI
What if your smart device could learn, protect, and process AI? And all without needing a bulky battery or cloud connection? That’s exactly what we’re building in SMARTY with our Ultra-Low Power Processor for PQC and Edge-AI which is an innovation that combines next-gen security with AI capability in a compact, energy-efficient chip. As quantum computers advance, traditional encryption becomes more vulnerable. But PQC algorithms are computationally intensive. Because we
1707, 2025
Why Do Knowledge Graphs Need AI?
As part of the SMARTY Project, we are exploring how AI enhances knowledge graph capabilities—not just for data storage, but for intelligent reasoning, search, and interaction. To support this, SMARTY integrates Metaphactory, an advanced platform developed by metaphacts, designed to enable AI-driven knowledge management at scale. Why Metaphactory? What’s Next in SMARTY? Our team is focused on: We invite you to follow our progress and explore how AI and semantics
1007, 2025
How can organizations securely share data and services without compromising control?
That’s not just the future. It’s what we’re building right now at SMARTY through our work on Decentralized Feature Extraction (DFE), it is led by CNIT. The SMARTY project introduces Declarative Cooperation is a policy-driven framework that: Traditional access controls are rigid and prone to breaches. Declarative Cooperation offers: The first release is expected soon and will be tested in SMARTY’s Telco use case (UC2), where it can boost performance and efficiency in modern
0807, 2025
Smarter Networks, Smarter AI: SMARTY’s Decentralized Feature Extraction
What if your network could automatically extract and feed critical data to AI systems without compromising performance? The SMARTY project is developing Decentralized Feature Extraction (DFE)—a breakthrough technology that: - Extracts network/device features in real-time using NVIDIA Bluefield DPUs. - Supports distributed AI by decentralizing data collection. - Boosts efficiency by offloading feature extraction to programmable NICs/DPUs. Traditional centralized data collection creates bottlenecks. DFE enables: