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Studying the Quality of Source Code Generated by Different AI Generative Engines: An Empirical Evaluation

The advent of Generative Artificial Intelligence is opening essential questions about whether and when AI will replace human abilities in accomplishing everyday tasks. This issue is particularly true in the domain of software development, where generative AI seems to have strong skills in solving coding problems and generating software source code. In this paper, an empirical evaluation of AI-generated source code is performed: three complex coding problems (selected from the exams for the Ja...

15 years of Big Data: a systematic literature review

Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data research in the last 15 years. The objective of this Systematic Literature Review is to summarize the current state of the art of the previous 15 years of research about Big Data by providing answers to a set of research questions related to the main application domains for Big Data analytics; the significant ch...

An Artificial Intelligence-based tool to predict “unhealthy” wine and olive oil

The application of Artificial Intelligence (AI) in the agri-food industry has witnessed significant advancements, particularly in healthy food, quality assessment, and geographical origin determination of agri-products such as wine and olive oils, whose international market is constantly growing. This paper explores the applicability of Machine Learning (ML) models for predicting “unhealthy” wines and olive oils. As for the healthy factor, two main characteristics of wines and olive oils were...

Evaluation of Inflammatory Cellular Model by Advanced Bioanalytic and Artificial Intelligence Analyses of Lipids: Lipidomic Landscape of Inflammaging

Lipids are emerging as important potential targets for the early diagnosis and prognosis of several inflammatory diseases. Studying the lipid profiles is important for understanding cellular events such as low-grade inflammation, a condition common to many human diseases, including cancer, neurodegenerative diseases, diabetes, and obesity. This work aimed to explore lipid signatures in an inflammation cellular model using an advanced bioanalytical approach complemented by Machine Learning tec...

Speckled-speckle field as a resource for imaging techniques

Correlated states of light, both classical and quantum, can find useful applications in the implementation of several imaging techniques. Among the employed sources, pseudo-thermal states, generated by the passage of a laser beam through a diffuser, represent the standard choice. To produce light with a higher level of correlation, in this work we consider and characterize the speckled-speckle field obtained with two diffusers using both a numerical simulation and an experimental implementati...

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