1 citations · 1 across the 3 of their papers we have counts for
5 papers
Scaling Laws for Energy Efficiency of Local LLMs
Ander Alvarez, Alessandro Genuardi, Nilotpal Sinha +6
Deploying local large language models and vision-language models on edge devices requires balancing accuracy with constrained computational and energy budgets. Although graphics pr…
Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models
Luigi D'Amico, Daniel De Rosso, Ninad Dixit +6
In the rapidly evolving domain of financial technology, the detection of illicit transactions within blockchain networks remains a critical challenge, necessitating robust and inno…
Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging
Mazen Ali, António Pereira, Fabio Gentile +5
Cloud and cloud shadow masking is a crucial preprocessing step in hyperspectral satellite imaging, enabling the extraction of high-quality, analysis-ready data. This study evaluate…
Accelerating Photonic Integrated Circuit Design: Traditional, ML and Quantum Methods
Alessandro Daniele Genuardi Oquendo, Ali Nadir, Tigers Jonuzi +4
Photonic Integrated Circuits (PICs) provide superior speed, bandwidth, and energy efficiency, making them ideal for communication, sensing, and quantum computing applications. Desp…
Ultralight Signal Classification Model for Automatic Modulation Recognition
Alessandro Daniele Genuardi Oquendo, Agustín Matías Galante Cerviño, Nilotpal Kanti Sinha +3
The growing complexity of radar signals demands responsive and accurate detection systems that can operate efficiently on resource-constrained edge devices. Existing models, while…