π Tackling marine debris with AI!
π Tackling marine debris with AI! Our research compares machine learning models (NN, SVM, XGB, LR, RF) for underwater debris classification. Neural Networks and SVM lead with up to 84% accuracy.Β Β
π Tackling marine debris with AI! Our research compares machine learning models (NN, SVM, XGB, LR, RF) for underwater debris classification. Neural Networks and SVM lead with up to 84% accuracy.Β Β
β‘ Photonic Convolutional Neural Networks (CNNs) outperform electronics in speed, density, and energy use β making them essential for green 6G security.Β Β
π 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.Β Β
π‘ 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.Β
π Optimizing edge storage isnβt just about speed β itβs about sustainability. Our CATER framework strikes the balance between optimal performance and real-world deployment, reducing costly data movement while improving efficiency.Β Β
π 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 β‘ and a smaller environmental footprint π.
During August, CLEVER highlighted major advances in edge computing, AI, photonics, and sustainable technologies:β Quantum-Ready Edge Security β CLEVER deployed a fully Post-Quantum Cryptography (PQC)-protected network stack on NVIDIA BlueField-2 DPUs, preparing infrastructure for the quantum era.β Photonic AI forβ¦
π 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 edgeβ¦
π©βπAs 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.Β Β β¦

CATER β 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: β β¦