Photonic accelerators achieve >100× efficiency gains over electronics. Analog optical inference minimizes heat and waste. This transforms network AI into a sustainable technology. Performance meets planetary responsibility.🌟 Follow us on LinkedIn! Check the updates from the website: www.cleverproject.eu 🌟 Full paper in:…
Edge AI workloads demand low-latency, privacy-compliant storage. CATER delivers, using policy-driven placement to optimize energy, latency, and compliance. Tested on real edge clusters, it cuts data movement by 61%. 🌟 Follow us on LinkedIn! Check the updates from the…
This week, we advanced 6G MIMO innovation and GPGPU virtualization, proving that smarter networks and faster computing are within reach. Here’s what stood out: 📡 6G MIMO Breakthroughs 💻 GPGPU Virtualization Revolution 🌍 Join the Revolution Explore our research and…
Edge storage systems must minimize active nodes while respecting collocation, hardware, and privacy constraints. Our CATER framework achieves this with a hybrid optimization-heuristic approach, reducing energy consumption and data movement by up to 61%. 🌟 Follow us on LinkedIn! …
More SE often means more power. Our user-centric D-mMIMO system breaks this trade-off, achieving up to 61% EE improvement while maintaining high SE. Sustainable 6G networks are possible. 🌟 Follow us on LinkedIn! Check the updates from the website:…
Reducing computational complexity doesn’t just save power—it boosts energy efficiency (EE). Our user-centric D-mMIMO system achieves up to 61% EE improvement by optimizing AP clusters. Sustainable 6G networks are within reach. 🌟 Follow us on LinkedIn! Check the updates…
CATER — 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: ✅…
