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33 results on '"Serino, Antonio"'

1. Towards the Terminator Economy: Assessing Job Exposure to AI through LLMs

Author

Colombo, Emilio, Mercorio, Fabio, Mezzanzanica, Mario, and Serino, Antonio

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence
Abstract

The spread and rapid development of AI-related technologies are influencing many aspects of our daily lives, from social to educational, including the labour market. Many researchers have been highlighting the key role AI and technologies play in reshaping jobs and their related tasks, either by automating or enhancing human capabilities in the workplace. Can we estimate if, and to what extent, jobs and related tasks are exposed to the risk of being automatized by state-of-the-art AI-related technologies? Our work tackles this question through a data-driven approach: (i) developing a reproducible framework that exploits a battery of open-source Large Language Models to assess current AI and robotics' capabilities in performing job-related tasks; (ii) formalising and computing an AI exposure measure by occupation, namely the teai (Task Exposure to AI) index. Our results show that about one-third of U.S. employment is highly exposed to AI, primarily in high-skill jobs (aka, white collars). This exposure correlates positively with employment and wage growth from 2019 to 2023, indicating a beneficial impact of AI on productivity. The source codes and results are publicly available, enabling the whole community to benchmark and track AI and technology capabilities over time.

Published
2024

2. Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark

Author

Mercorio, Fabio, Mezzanzanica, Mario, Potertì, Daniele, Serino, Antonio, and Seveso, Andrea

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Recent advancements in Large Language Models (LLMs) have significantly enhanced their ability to generate and manipulate human language, highlighting their potential across various applications. Evaluating LLMs in languages other than English is crucial for ensuring their linguistic versatility, cultural relevance, and applicability in diverse global contexts, thus broadening their usability and effectiveness. We tackle this challenge by introducing a structured benchmark using the INVALSI tests, a set of well-established assessments designed to measure educational competencies across Italy. Our study makes three primary contributions: Firstly, we adapt the INVALSI benchmark for automated LLM evaluation, which involves rigorous adaptation of the test format to suit automated processing while retaining the essence of the original tests. Secondly, we provide a detailed assessment of current LLMs, offering a crucial reference point for the academic community. Finally, we visually compare the performance of these models against human results. Additionally, researchers are invited to submit their models for ongoing evaluation, ensuring the benchmark remains a current and valuable resource.

Published
2024

3. Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation

Author

Castelnovo, Alessandro, Depalmas, Roberto, Mercorio, Fabio, Mombelli, Nicolò, Potertì, Daniele, Serino, Antonio, Seveso, Andrea, Sorrentino, Salvatore, Viola, Laura, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Longo, Luca, editor, Lapuschkin, Sebastian, editor, and Seifert, Christin, editor

Published
2024
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4. A Ka-Band Ultra-Low Power GaAs MMIC LNA

Author

Sharma, Shikha, Colangeli, Sergio, Longhi, Patrick, Ciccognani, Walter, Serino, Antonio, Limiti, Ernesto, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Ciofi, Carmine, editor, and Limiti, Ernesto, editor

Published
2024
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6. On the Simultaneous Conjugate Match of N-Port Networks

Author

Colangeli, Sergio, Serino, Antonio, Ciccognani, Walter, Longhi, Patrick E., and Limiti, Ernesto

Abstract

Some advancements are proposed to the theory of simultaneous conjugate match (SCM) of $N$ -ports. It is shown that, if a network qualifies for geometrical unconditional stability (g-US), then it can be matched simultaneously at all ports. The proof serves as the basis for constructing an iterative algorithm (AlgG) which is guaranteed to converge to the SCM condition for all $N$ -ports exhibiting g-US. In addition to the main results above mentioned, two more iterative algorithms are presented (AlgS and AlsA), which are conjectured to work for all networks satisfying g-US. AlgS can be shown to converge globally for $N = 2$ and AlgA to converge locally for all $N$ . Besides their theoretical interest, these results find a natural application in the matching of passive networks, and in particular of $N$ -element phased arrays. However, they can be applied to any (i.e., also active) $N$ -port as long as this is known to exhibit g-US.

Published
2024
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7. Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation

Author

Castelnovo, A, Depalmas, R, Mercorio, F, Mombelli, N, Potertì, D, Serino, A, Seveso, A, Sorrentino, S, Viola, L, Castelnovo, Alessandro, Depalmas, Roberto, Mercorio, Fabio, Mombelli, Nicolò, Potertì, Daniele, Serino, Antonio, Seveso, Andrea, Sorrentino, Salvatore, Viola, Laura, Castelnovo, A, Depalmas, R, Mercorio, F, Mombelli, N, Potertì, D, Serino, A, Seveso, A, Sorrentino, S, Viola, L, Castelnovo, Alessandro, Depalmas, Roberto, Mercorio, Fabio, Mombelli, Nicolò, Potertì, Daniele, Serino, Antonio, Seveso, Andrea, Sorrentino, Salvatore, and Viola, Laura

Abstract

Integrating AI-driven recommender systems has proven highly successful in many industries, prompting the banking sector to explore personalised client recommendations. Given the interpersonal nature of banking sales to corporate clients, wherein AI systems recommend to Relationship Managers who facilitate interactions with clients, there is a critical need for explainability in the AI-generated recommendations to support commercial activities. Our work leverages Generative AI and Large Language Models to synthesise natural language explanations for AI algorithms’ motivations, tailored for non-technical users in the banking environment. Through a case study in a major bank, Intesa Sanpaolo, our approach successfully replaces manual expert labour, offering scalable, efficient, and business-relevant explanations. Our study addresses key research questions and contributes by presenting an enriched presentation of SHAP explainer outputs in banking, validated against expert standards. We also explore the impact on the business, providing insights into the value of transparent AI-driven recommendations in the evolving landscape of banking services.

Published
2024

15. Source/Load-Pull Noise Measurements at Ka Band

Author

Colangeli, Sergio, primary, Ciccognani, Walter, additional, Longhi, Patrick Ettore, additional, Pace, Lorenzo, additional, Serino, Antonio, additional, Poulain, Julien, additional, Leblanc, Rémy, additional, and Limiti, Ernesto, additional

Published
2021
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16. Non-Destructive, Self-Contained Extraction Method of Parasitic Resistance in HEMT Devices

Author

Colangeli, Sergio, Ciccognani, Walter, Serino, Antonio, Longhi, Patrick E., Pace, Lorenzo, Poulain, Julien, Leblanc, Rémy, and Limiti, Ernesto

Subjects
Hardware_INTEGRATEDCIRCUITS, Hardware_PERFORMANCEANDRELIABILITY, Hardware_LOGICDESIGN
Abstract

The paper studies the classical problem of determining the extrinsic resistances (RG, RS and RD) of field-effect transistors (FETs), and in particular of high-electron mobility transistors (HEMTs). In articular, this study relies on small-signal measurements of open-channel transistors.

Published
2020
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22. Accurate microwave characterisation of power ld-mosfets

Author

Giannini, Franco, Graglia, Fabio, Leuzzi, Giorgio, and Serino, Antonio

Subjects
ING-INF/01 Elettronica, Settore ING-INF/01 - Elettronica
Abstract

An accurate,non-quasi-static,non-linear equivalent circuit model of a power Si LD-MOSFET valid well into the microwave region has been extracted by means of a reliable and easy procedure.The model is intended for applications to high-efficiency power amplifiers in the low microwave region.The extraction is based on linear S-parameter measurements at many bias points with a hot-cold method for parasitic and intrinsic element determination.The model differs from the standard BSIM3 or MODEL9 models,ensuring accurate high-frequency performances.

Published
2000

30. A C-Band High-Efficiency Second-Harmonic-Tuned Hybrid Power Amplifier in GaN Technology.

Author

Colantonio, Paolo, Giannini, Franco, Giofrë, Rocco, Limiti, Ernesto, Serino, Antonio, Peroni, Marco, Romanini, Paolo, and Proietti, Claudio

Subjects
SOLID freeform fabrication, POWER amplifiers, DATA transmission systems, SILICON, ELECTRIC conductivity, POWER resources
Abstract

In this paper, the design, fabrication, and test of high-efficiency, high-power C-band harmonic-tuned power amplifiers in GaN technology is reported. The amplifier has been designed utilizing second-harmonic tuning for high-efficiency operation, thus exploiting the high-breakdown voltage peculiarity of GaN-based devices. Realized in a hybrid form, the amplifier has been characterized in terms of small-signal, power, and intermodulation (IMD) performance. An operating bandwidth over 20% around 5.5 GHz, with 33-dBm minimum output power, and 60% drain efficiency at center frequency is demonstrated, together with low IMD. [ABSTRACT FROM AUTHOR]

Published
2006
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31. Theoretical investigation and experimental verification of the nonanalytic form of the conversion equations in a frequency divider by two.

Author

Di Paolo, Franco, Leuzzi, Giorgio, Schreurs, Dominique, and Serino, Antonio

Subjects
MICROWAVES, ELECTRONIC equipment, STABILITY (Mechanics), SIMULATION methods & models
Abstract

The conversion matrix, usually represented in a conventional complex-number form, assumes a nonanalytic, real-imaginary form when the frequency of the small signal fs is equal to one-half the local oscillator (LO) frequency f0. This is due to interference phenomena between the input small signal at fs = f0/2 and the converted signal again at f0 - fs = fs = f0/2; the interference is dependent on the phase relation between the input small signal and the LO. The conversion matrix with fs = f0/2 is used in the design of frequency dividers by two. The conversion equations have been rewritten for the case of fs = f0/2, and the conversion matrix has been found to assume a real-imaginary form. Consequently, Barkhausen's criterion has been reassessed for this case. Experiments are performed that confirm this formalism, and computer simulations based on a nonlinear model for the nonlinear device are presented, showing similar results. © 2005 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2006. [ABSTRACT FROM AUTHOR]

Published
2006
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32. Direct noise characterization of microwave FET using 50Ω noise figure and Y-parameter measurements.

Author

De Dominicis, Marco, Giannini, Franco, Limiti, Ernesto, and Serino, Antonio

Subjects
NOISE, MICROWAVES, PARAMETER estimation, PLANAR transistors, RADIO frequency
Abstract

A fast and accurate method to determine the noise parameters of microwave FETs, based on a new expression of the device noise figure as a function of the Y-parameters and two equivalent noise temperatures, is presented. The method requires only the measured small-signal parameters and 50Ω noise figure, thus avoiding the extraction of the small-signal equivalent circuit. It is particularly suitable for noise characterization of coplanar devices. Good agreement with the results of more conventional methods is demonstrated in a wide frequency range. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 44: 565–569, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20698 [ABSTRACT FROM AUTHOR]

Published
2005
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33. Source/Load-Pull Noise Measurements at K a Band.

Author

Colangeli, Sergio, Ciccognani, Walter, Longhi, Patrick Ettore, Pace, Lorenzo, Serino, Antonio, Poulain, Julien, Leblanc, Rémy, and Limiti, Ernesto

Subjects
NOISE measurement, GALLIUM nitride, SILICON nitride, NOISE
Abstract

This paper is focused on the extraction of the noise parameters of a linear active device by exploiting both forward and reverse noise power measurements associated with different terminations. In order for load-pull measurements to yield a significant marginal improvement (as compared to forward measurements only) it is expected that the device under test should appreciably deviate from unidirectionality. For this reason, the source/load-pull technique is applied to frequencies at which the considered devices are still usable but their reverse noise factor exhibits a measurable dependence on the output terminations. Details on the test bench set up to the purpose, covering the 20–40 GHz frequency range, are provided. A characterization campaign on a 60 nm gate length, 4 × 35 µm GaN-on-Si HEMT fabricated by OMMIC is illustrated. [ABSTRACT FROM AUTHOR]

Published
2021
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