Philip

The CLEVER Project is advancing edge-AI capabilities with GPU and FPGA virtualization, developed by AAU. This framework unlocks high-performance computing for AI and ML applications while reducing costs through resource sharing. 🔑 Key Features: ⚙️ Development Focus: 🌟 Why It…

Fraunhofer IMS is pushing the boundaries of AI computation by developing a hardware compiler for neural networks in the CLEVER Project. This innovative framework translates Python (TensorFlow) models directly into hardware accelerators (Verilog HDL), setting new standards for efficiency in…

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?  💡 Our Vision:   TUE…

🎯 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 continuum We demonstrate how intelligent agents can dynamically allocate resources, manage dependencies between microservices,…

✅ 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…

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…

Abstract: Cities serve as vital hubs of economic activity and knowledge generation and dissemination. As such, cities bear a significant responsibility to uphold environmental protection measures while promoting the welfare and living comfort of their residents .There are diverse views…