CLEVER’s research on green 6G AI ensures that as networks scale, they remain energy-efficient and secure. By integrating photonics with AI, we are paving the way for a sustainable digital future, where advanced communication technologies coexist with environmental responsibility.
PANNs are designed to enable real-time cyber defense directly at 6G base stations. By leveraging photonic processing, these networks can detect and mitigate threats with unprecedented speed and efficiency, ensuring robust security for future communication infrastructures.Ā
Convolutional Neural Network (CNN) architectures like ResNet, VGG19, and DenseNet are instrumental in CLEVER’s AI-driven monitoring of deep-sea ecosystems. These tools facilitate automated, precise debris detection, aiding in the protection of our oceans through advanced technology.
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.ā¦
CLEVER’s research compares various machine learning modelsāNeural Networks (NN), Support Vector Machines (SVM), XGBoost (XGB), Logistic Regression (LR), and Random Forest (RF)āfor underwater debris classification. Neural Networks and SVM lead with up to 84% accuracy, showcasing the potential of AIā¦
Photonic CNNs are revolutionizing AI processing by offering superior speed, density, and energy efficiency compared to traditional electronic counterparts. This advancement is crucial for the development of sustainable 6G networks, enabling real-time cyber defense and efficient data processing at theā¦
Explore CLEVER’s contributions in the proceedings of the 5th Summer School on Cyber-Physical Systems and Internet-of-Things (SS-CPS&IoT’2024), covering topics from Edge AI acceleration to quality-driven CPS design. These studies provide insights into emerging trends and best practices in the fieldā¦
CLEVER introduces innovations in hardware accelerators, design stacks, and software middleware to revolutionize the capability of edge computing platforms to operate in a federated manner. These technologies support the deep edge computing paradigm, bringing processing services closer to the endā¦
Cyber-Physical Systems (CPS) and the Internet of Things (IoT) are at the heart of Europe’s technological innovation. CLEVER research contributes to green systems, trustworthy AI, and energy-efficient processors shaping the IoT of the future.
Deliverables D5.1 and D5.2 focus on the design, implementation, and optimization of AI-driven applications tailored for specific edge computing use cases. These applications leverage advanced machine learning techniques to process data locally, enabling real-time decision-making and reducing the need forā¦
