Using QUIC protocol, CLEVER optimizes GPU virtualization for edge AI. This approach reduces latency, maximizes throughput, and enables distributed real-time processing across connected devices. 🌟 Explore more: www.cleverproject.eu
This week we focused on:✅ PQC deployment at line-rate DPUs for quantum-safe edge communication✅ Middleware solutions for efficient AI application deployment✅ Concept drift detection for adaptive smart systems✅ Sustainable, energy-efficient AI and photonic networks✅ Strengthening CPS/IoT infrastructures with trustworthy AIStay…
Our research explores the use of digital twin models to simulate, monitor and optimise smart city systems at the edge. With real-time data feeding virtual replicas of physical assets, we enable predictive maintenance, dynamic resource allocation and integrated infrastructure intelligence.⚙️…
Photonics-based CNNs and PANNs accelerate AI inference, enabling ultra-low latency responses at edge nodes. This is critical for smart city deployments, autonomous systems, and real-time cybersecurity operations. 🌟 Explore more: www.cleverproject.eu
CLEVER leverages convolutional and recurrent neural networks to process edge data in real time. From detecting anomalies in sensor data to predicting environmental trends, our AI ensures resilient operations.🌟 Explore more: www.cleverproject.eu
Our research strengthens IoT and CPS infrastructures by embedding trustworthy AI, energy-efficient computation, and secure middleware. These systems are vital for autonomous vehicles, smart factories, and connected cities.🌟 Explore more: www.cleverproject.eu
Sustainability is at the core of our designs. Integrating energy-efficient hardware, AI, and photonic processing, CLEVER ensures that future edge networks are secure, high-performing, and environmentally responsible.🌟 Explore more: www.cleverproject.eu
CLEVER deploys robust security protocols to protect edge nodes from emerging threats. By combining PQC, confidential computing, and software-defined perimeters, we secure the flow of critical data across distributed networks. 🌟 Explore more: www.cleverproject.eu
Our team develops advanced algorithms for concept drift detection and adaptive learning at the edge. These improvements ensure AI models remain accurate in dynamic environments such as smart campuses and urban IoT networks.🌟 Explore more: www.cleverproject.eu
AI-driven applications process local sensor data to generate actionable insights, reducing dependency on centralized cloud resources. CLEVER solutions support smarter, faster, and more resilient decision-making for distributed systems.🌟 Explore more: www.cleverproject.eu
