🛡️ 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.  đź”’ Core Innovations Highlighted:  As 5G/6G networks converge with edge computing, vulnerabilities multiply. SMARTY’s integrated

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Post-Quantum Cryptography Acceleration for Edge Computing 

As quantum computing continues to evolve, existing public-key cryptographic schemes are becoming increasingly vulnerable. To address this, the SMARTY Project is advancing hardware acceleration for Post-Quantum Cryptography (PQC) within edge computing environments.  Led by BSC, the effort focuses on integrating PQC capabilities into the SELENE SoC, a RISC-V-based platform, using High-Level Synthesis (HLS) to accelerate the development of hardware modules that implement two NIST standardization candidates:  Design Highlights  System Integration 

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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

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How do we run real-time AI applications at the edge: fast, secure, and with minimal latency?

SMARTY’s Answer: An Enhanced Serverless Engine that’s deeply integrated with In-band Network Telemetry (INT) developed by our partner TKI.  In simple terms, this innovation helps us to deploy AI apps without waiting for a full server to spin up, monitor performance in real time, route traffic intelligently across edge and cloud, and scale instantly and heal automatically. Edge-based systems (like those in smart cars or smart cities) don’t have the

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