⚡ Photonic Convolutional Neural Networks (CNNs)
⚡ Photonic Convolutional Neural Networks (CNNs) outperform electronics in speed, density, and energy use — making them essential for green 6G security.
Category News
🌐 Future networks with CLEVER!
🌐 Future networks demand security and efficiency. Our work on Photonic-accelerated AI shows how next-gen photonic hardware can detect cyberattacks in real-time, with 99.7% accuracy.
💡 Prototype in action!
💡 Prototype in action: CATER seamlessly integrates with Apache Ozone, using modular APIs for intelligent node selection. This ensures flexibility across diverse edge environments like smart factories and hospitals.
🔍 Optimizing edge storage!
🔍 Optimizing edge storage isn’t just about speed — it’s about sustainability. Our CATER framework strikes the balance between optimal performance and real-world deployment, reducing costly data movement while improving efficiency.
📊 Did you know CATER?
📊 Did you know? CATER reduces active node usage by 23% compared to default Apache Ozone, while still meeting 100% of application constraints. This means less energy consumption ⚡ and a smaller environmental footprint 🌍.
📰 CLEVER Monthly Round-up – August Newsletter
During August, CLEVER highlighted major advances in edge computing, AI, photonics, and sustainable technologies:✅ Quantum-Ready Edge Security – CLEVER deployed a fully Post-Quantum Cryptography (PQC)-protected network stack on NVIDIA BlueField-2 DPUs, preparing infrastructure for the quantum era.✅ Photonic AI for…
🚀 Launching September with CLEVER innovations!
🚀 Launching September with CLEVER innovations! CATER, our policy-based data placement framework, is transforming how data flows across the edge-cloud continuum. With GDPR compliance, privacy safeguards, and energy efficiency at its core, CATER is paving the way for sustainable edge…
Revolutionizing 6G with Photonic-Aware Neural Networks for Enhanced Security
👩🏭As 6G networks approach, integrating AI for ubiquitous connected intelligence is paramount. Our paper, “Photonic-accelerated AI for cybersecurity in sustainable 6G networks,” details a photonic-based CNN solution for real-time DoS attack detection, achieving a 99.73% mean F1-score with 4-bit resolution. …
🎉 Introducing CATER
CATER — a policy-based, constraint-aware data placement framework tailored for the edge-cloud continuum. Traditional storage solutions fail to handle the complex demands of edge computing: heterogeneous nodes, GDPR compliance, privacy isolation, and energy-efficient storage. CATER addresses these challenges head-on: ✅…
‼️ Photonic AI for Real-time Threat Mitigation
The future of 6G networks demands intelligent and sustainable security solutions. Our latest research, “Photonic-accelerated AI for cybersecurity in sustainable 6G networks,” introduces a novel approach using photonic-based Convolutional Neural Networks (CNNs) to detect Denial of Service (DoS) Hulk attacks…