Imagine harnessing the speed of light to power neural networks! At the CLEVER Project, we’re breaking barriers with Optical Convolutional Neural Networks (OCNNs)—a groundbreaking approach to solving the limitations of traditional electronic CNNs.  🔍 Why OCNNs?  Energy Efficiency: Optical convolution operations consume constant power, regardless of input size.  Speed: Computing at the speed of light…

🎯 What’s the focus? Our work dives deep into AI-enabled optimization of critical computing infrastructures, leveraging:✅ Graph-based system modeling✅ Multi-agent Deep Q-Learning✅ Smart orchestration across the IoT–Edge–Cloud continuumWe demonstrate how intelligent agents can dynamically allocate resources, manage dependencies between microservices, and enhance performance, even in complex and secure infrastructure environments.💡 Why it matters:✔️ Enables secure and…

✅ CLEVER Project @ EDGE AI Conference (Athens, 2023)🚀 Thrilled to share highlights from our recent presentation at the EDGE AI Conference in Athens, where we showcased how AI can optimize resource orchestration in critical computing infrastructures—a key goal of the CLEVER Project!🔍 At the heart of our work:Bridging IoT–edge–cloud environments with smart, secure, and…

The Virtual Fitting Room developed for one of the project Use Cases has been presented to the  Internet Festival 2024, a dissemination event in Pisa. The application drew a lot of interest both from the participants to the event and from the press, getting some dedicated insertions on RaiNews https://www.rainews.it/video/2024/10/internet-vestival-pisa-2024-vestiti-con-intelligenza-artificiale-aa037b1e-eab5-4ce9-9f24-54f994054641.html

Abstract: The proliferation of the Internet of Things (IoT), artificial intelligence (AI), the adoption of 5G, and progress towards 6G technology have led to the accumulation of massive amounts of real-world data; however, a significant portion of the data generated by smart cities and smart buildings remains unused. A notable problem is the shift of…