In an era of real-time data and rapidly evolving urban dynamics, concept drift is a silent killer of AI accuracy. As patterns shift (think lockdowns, weather anomalies, or energy crises), traditional models fail. As part of the CLEVER Project, we…
CLEVER’s layered middleware is the answer! It automates orchestration, connecting compute/storage across cloud & edge for smart deployments & max resource use. Here’s CLEVER in Action:1- Request lands at Frontend (specs included).2- Where to run it? Global Scheduler + Knowledge…
Introducing our flexible forecasting platform for Zero Touch Networking and Digital Twinning, developed as part of the CLEVER Project 🔍 In today’s dynamic 5G and beyond environments, reactivity is not enough. Network automation must evolve into proactivity — where systems…
In the CLEVER Project, we’re transforming how edge computing platforms handle resource management by integrating cutting-edge AI/ML models for proactive resource forecasting. Imagine a world where your applications—from autonomous vehicles to augmented reality—receive resources before they need them, ensuring top-tier…
As 5G networks scale, so does their energy footprint—especially across x-haul infrastructures (fronthaul, midhaul, backhaul). In the latest research from the CLEVER Project, we propose a cooperative SDN-based energy-saving scheme for NG-PON2, blending 5G TDD awareness, O-RAN intelligence, and software-defined…
We’re proud to present the first-ever end-to-end, line-rate optical fiber link using post-quantum cryptography (PQC), implemented with Data Processing Units (DPUs) and demonstrated at 92.3 Gbps! In a hybrid PQC setup using Kyber and Dilithium, we’ve shown that full-stack quantum-resistant…
The CLEVER Project presents a novel way to embed AI into programmable data planes — with zero arithmetic logic, zero stateful memory, and zero loss in performance. 🔍 Our latest innovation introduces a lookup table distillation technique that transforms complex…
The CLEVER Project is tackling one of the most critical questions in AI for distributed environments: how do we make machine learning resilient when data comes from a wide range of sources—with varying levels of trust? 📍 Presented at the…
We’re excited to present a breakthrough from the CLEVER Project: a novel RDMA over InfiniBand Communicator that significantly accelerates GPGPU virtualization using GVirtuS — enabling smarter, faster, and more efficient AI workloads across remote GPUs ⚡🧠 🔍 Why this matters: Traditional…
