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- University of CambridgeGB53 papers
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143 papers
Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations
Adrián Sánchez-Mompó, Ioannis Mavromatis, Peizheng Li +2
This study presents an empirical investigation into the energy consumption of Discriminative and Generative AI models within real-world MLOps pipelines. For Discriminative models,…
Surgical Vision World Model
Saurabh Koju, Saurav Bastola, Prashant Shrestha +4
Realistic and interactive surgical simulation has the potential to facilitate crucial applications, such as medical professional training and autonomous surgical agent training. In…
Metro-scale QKD using multimode fiber
Adam Brzosko, Robert I Woodward, Yuen San Lo +4
We report a proof-of-principle realisation of a decoy-state BB84 QKD protocol with phase encoding over a record-breaking 17 km of MMF at a rate of 193 kbits/s, as well as over 1 Mb…
Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges
Haiyuan Li, Hari Madhukumar, Peizheng Li +6
Deep Reinforcement Learning (DRL) has emerged as a powerful solution for meeting the growing demands for connectivity, reliability, low latency and operational efficiency in advanc…
NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL
Haiyuan Li, Peizheng Li, Karcius Day Assis +5
The disaggregated and hierarchical architecture of advanced RAN presents significant challenges in efficiently placing baseband functions and user plane functions in conjunction wi…
Quantified Effects of the Laser Seeding Attack in Quantum Key Distribution
Victor Lovic, Davide G. Marangon, Peter. R. Smith +2
Quantum key distribution (QKD) enables private communications with information-theoretic security. To guarantee the practical security of QKD, it is essential that QKD systems are…