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- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT187 papers
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84 papers · 1 filter
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio +3
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to au…
Optical and Hidden Transport Properties of BaFeNiAs Film
Yu. A. Aleshchenko, A. V. Muratov, G. A. Ummarino +3
Optical spectroscopy was used to study the electrodynamics and hidden transport properties of a BaFeNiAs thin superconducting film. We analyzed the normal s…
Analysis of the Coherent Contributions to Nonlinear Interference Generation within Disaggregated Optical Line Systems
Elliot London, Emanuele Virgillito, Andrea D'Amico +2
Through a physical layer simulation study we highlight that the coherent accumulation of nonlinear interference becomes non-negligible for optical networks operating within high sy…
Binary input reconstruction for linear systems: a performance analysis
Sophie M. Fosson
Recovering the digital input of a time-discrete linear system from its (noisy) output is a significant challenge in the fields of data transmission, deconvolution, channel equaliza…
New non-extremal and BPS hairy black holes in gauged and supergravity
Andres Anabalon, Dumitru Astefanesei, Antonio Gallerati +1
In this article we study a family of four-dimensional, supergravity theories that interpolates between all the single dilaton truncations of the ga…
Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning
Uiara Celine de Moura, Ann Margareth Rosa Brusin, Andrea Carena +2
A machine learning framework predicting pump powers and noise figure profile for a target distributed Raman amplifier gain profile is experimentally demonstrated. We employ a singl…