Relevant bibliographies by topics / Intelligenza artificiale

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Intelligenza artificiale'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Intelligenza artificiale"

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Bogdan, Patrut. "BRAIN JOURNAL - Riassunti in italiano." Brain Journal 1, no. 2 (2010): 217–22. https://doi.org/10.5281/zenodo.1036534.

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BRAIN. Broad Research in Artificial Intelligence and Neuroscience CERVELLO. Ampia ricerca in Intelligenza Artificiale e Neuroscienze Volume 1, Numero 2 Gennaio 2010: Tanti Auguri! www.brain.edusoft.ro Direttore Responsabile: Bogdan Patrut
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Bogdan, Patrut. "BRAIN Journal - Riassunti in italiano." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 1, no. 3 (2010): 112–14. https://doi.org/10.5281/zenodo.1036516.

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Riassunti in italiano BRAIN. Broad Research in Artificial Intelligence and Neuroscience CERVELLO. Ampia ricerca in Intelligenza Artificiale e Neuroscienze Volume 1, Numero 3 Luglio 2010: Tanti Auguri! www.brain.edusoft.ro Direttore Responsabile: Bogdan Patrut
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Sorrentino, Maddalena. "Intelligenza artificiale: lezioni dalla Cina." LCM - La Collana / The Series 9788879168267 (December 2017): 111–22. http://dx.doi.org/10.7359/826-2017-sorr.

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Fidanza, Federico. "Sul concetto di Intelligenza Artificiale." La Nuova Giuridica 1, no. 1 (2022): 186–98. http://dx.doi.org/10.36253/lng-1823.

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In the last few years, because of its spread and economic importance, Artificial Intelligence (AI) has taken a leading role in legal studies. This essay investigates the definition of the concept of AI from multiple point of views: firstly, from a technological and terminological perspective; secondly, analyzing and comparing the definitions given by the US legislation, the forthcoming EU AI Act and the Council of State (decision n. 7891/2021).
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Zane, Elisa. "Pedagogy of the ecological transition, educate to Artificial Intelligence between PNRR and pedagogical reflection." Form@re - Open Journal per la formazione in rete 24, no. 1 (2024): 188–95. http://dx.doi.org/10.36253/form-15615.

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Training for the ecological transition in the current scenario cannot fail to call into question a reflection on Artificial Intelligence, this requires a paradigm shift that involves pedagogical reflection as a privileged interlocutor for weighting. Humanoid robotics, artificial intelligence and big data are implementing a revolution of action and thought, which stimulates and pressures pedagogy. At the same time, the ecological transition will be able to benefit from these technological innovation devices, as tools for efficiency and growth, if they are guided by an ethical drive that addresses the common good as the ultimate goal of their work. A further push, both implementing and reflective, is represented by the National Recovery and Resilience Plan, which allows us to pursue a concrete dialogue, thanks to economic funds, between ecological transition and artificial intelligence. Pedagogia della transizione ecologica, formare all’Intelligenza Artificiale tra PNRR e riflessione pedagogica. Formare alla transizione ecologica nello scenario attuale non può prescindere dal chiamare in causa una riflessione anche sull’Intelligenza Artificiale, ciò richiede un cambio di paradigma che coinvolga la riflessione pedagogica come interlocutore privilegiato di ponderazione. Robotica umanoide, Intelligenza Artificiale e big data stanno attuando una rivoluzione, di azione e di pensiero, che sollecita e incalza la pedagogia. Al contempo la transizione ecologica potrà beneficiare di questi dispositivi di innovazione tecnologica, come strumenti di efficientamento e crescita, se essi saranno guidati da una spinta etica che indirizzi al bene comune come fine ultimo del proprio operare. Ulteriore spinta, sia attuativa che riflessiva, è rappresentata dal Piano Nazionale di Ripresa e Resilienza, che consente di perseguire un concreto dialogo, grazie a fondi economici, tra transizione ecologica e intelligenza artificiale.
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Perrella, Silvia. "Robotica, Intelligenza artificiale ed implicazioni etiche." Quaderni di Comunicazione Scientifica 4 (2023): 129. http://dx.doi.org/10.17454/qdcs04.11.

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Frontoni, Emanuele. "Intelligenza Artificiale Generativa e creatività umana." FOR - Rivista per la formazione, no. 3 (January 2024): 15–17. http://dx.doi.org/10.3280/for2023-003oa17072.

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Valentinetti, Diego, and Michele A. Reaa. "Intelligenza artificiale e accounting: le possibili relazioni." MANAGEMENT CONTROL, no. 2 (September 2023): 93–116. http://dx.doi.org/10.3280/maco2023-002005.

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Accoto, Cosimo. "Intelligenza artificiale: una provocazione di senso planetaria." FOR - Rivista per la formazione, no. 3 (January 2024): 6–9. http://dx.doi.org/10.3280/for2023-003oa17069.

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Vitolo, Mario, and Francesco Santopaolo. "Analisi del fabbisogno formativo e Intelligenza artificiale." FOR - Rivista per la formazione, no. 3 (January 2024): 38. http://dx.doi.org/10.3280/for2023-003oa17079.

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Dissertations / Theses on the topic "Intelligenza artificiale"

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Poser, Andrea <1981&gt. "AI – Intelligenza Artificiale." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17364.

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“Can machines think?” È questa la semplice domanda di Turing nel suo saggio Mind del 1950. L’interrogarsi sulla possibilità dell’intelligenza artificiale equivale, cambiando il punta di vista, a chiedersi se le capacità della mente umana siano “replicabili” ovvero se il cervello è una macchina, per quanto complessa.
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Gozzoli, Manuel. "Intelligenza Artificiale: tecniche e applicazioni." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Vladi, Andri. "Intelligenza artificiale e giochi: l'algoritmo MINMAX." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17799/.

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MINMAX è un algoritmo impiegato in diverse discipline, tra cui: teoria dei giochi, teoria delle decisioni e IA. Viene usato per la ricerca delle azioni migliori assumendo scelte ottimali da parte degli agenti coinvolti e sfrutta una struttura ad albero ed una funzione euristica per cercare una soluzione in un contesto di conflitto tra più parti. Costruisce l'albero fino a una profondità prefissata, identificata dal numero di azioni alternate che si sceglie come limite di ricerca e usa la funzione euristica per valutare gli stati all'ultimo stadio della ricerca, valori che propaga poi fino allo stato iniziale, confrontandoli con quelli degli altri stati, finché non ha valutato tutti gli stati adeguati disponibili, trovando cosi il percorso migliore. Il potenziamento principale a questo algoritmo è realizzato tramite la potatura Alfa-Beta che sfrutta due variabili chiamate appunto Alfa e Beta, che creano un finestra di valori minimi e massimi ammissibili oltre i quali le posizioni non vengono considerate, riducendo la dimensione dell'albero e permettendo così una ricerca più profonda.
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Fattori, Matteo. "Intelligenza artificiale per giochi strategici real-time." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6789/.

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L'elaborato affronta la progettazione di un'intelligenza artificiale per giochi strategici real-time in cui viene descritta la suddivisione dei livelli di astrazione e vengono prese in considerazione due architetture specifiche, SORTS ed EISBot, facendo particolare attenzione sulle problematiche riscontrate nell'ambiente di gioco.
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Spinato, Claudia <1995&gt. "Arte e intelligenza artificiale nell'era dei deepfake." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/20119.

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Con lo sviluppo dell’intelligenza artificiale e dei nuovi media diventa sempre più difficile al giorno d’oggi orientarsi nel mondo digitale e della disinformazione. Il confine tra realtà e illusione è labile: i deepfake nell’ultimo decennio sono un pericolo sempre maggiore e spesso difficile da riconoscere. L’elaborato, basandosi sul concetto di iperrealismo secondo alcuni principali filosofi e affrontando il problema filosofico della distinzione tra immagine e realtà, ne segue lo sviluppo attraverso la nascita dei deepfake e dell’intelligenza artificiale (nello specifico delle GANs), individuando, tuttavia, un campo in cui questo sviluppo può essere innovativo e avere un risvolto positivo: quello artistico. Se l’uso iperrealistico dell’intelligenza artificiale può avere un risvolto negativo, con lo scopo di ingannare lo spettatore, l’uso della stessa tecnologia in maniera creativa potrebbe invece aprire una nuova strada?
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Gianessi, Mattia. "Robotica e intelligenza artificiale applicate alla validazione automotive." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Questo lavoro rappresenta il resoconto di un tirocinio svolto presso il dipartimento di sviluppo elettronico, team di Integrazione e Validazione, di Automobili Lamborghini durante il quale si è progettato e implementato un sistema autonomo, flessibile e facilmente integrabile con le tecnologie già in uso presso il dipartimento; tale sistema deve essere in grado di riconoscere e interagire con le componenti di input e output HMI (switch, pulsantiere e display touchscreen) delle vetture, permettendo di eseguire e valutare il successo, o il fallimento, di una serie di test case proposti da un utilizzatore esterno. La componente del sistema adibita al riconoscimento di oggetti è costituita da una rete neurale realizzata tramite la libreria software TensorFlow, mentre quella utilizzata per interagire con tali oggetti è un braccio robotico LBR iiwa dotato di un carrello mobile KMR. Il risultato finale ottenuto è stato poi integrato in un framework più ampio che coinvolge altri stakeholders del flusso di sviluppo e validazione prodotto di Automobili Lamborghini S.p.A.
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Tramontano, Matteo. "sentiment analysis: previsione con tecniche di intelligenza artificiale." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20387/.

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La tesi tratta l'argomento chiamato Sentiment Analysis, ovvero un campo dell'elaborazione del linguaggio naturale che si occupa di costruire sistemi per l'identificazione ed estrazione di opinioni dal testo basandosi sui principali metodi di linguistica computazionale e di analisi testuale. In particolare ha lo scopo di mostrare realizzazione ed applicazione di questa pratica focalizzandosi sugli algoritmi che la costituiscono. Viene anche analizzato il suo utilizzo al fine di effettuare previsioni nel futuro con particolare attenzione all'ambito economico-finanziario.
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Mennino, Mirko. "Videogiochi e intelligenza artificiale: generazione automatica di contenuto personalizzato." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5113/.

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Braccini, Michele. "Intelligenza artificiale: test di Turing e alcune questioni filosofiche." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6060/.

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PELUSO, Maria Grazia (ORCID:0000-0002-5198-9694). "La governance dei dati nelle applicazioni di Intelligenza Artificiale." Doctoral thesis, Università degli studi di Bergamo, 2022. http://hdl.handle.net/10446/207127.

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Books on the topic "Intelligenza artificiale"

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Salvino, Biolo, Agazzi Evandro, and Centro di studi filosofici di Gallarate. Convegno, eds. Intelligenza naturale e intelligenza artificiale. Marietta, 1991.

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Battaglia, Pippo. Intelligenza artificiale: Dagli automi ai robot "intelligenti". UTET libreria, 2006.

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Frixione, Marcello. Logica, significato e intelligenza artificiale. FrancoAngeli, 1994.

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Pessa, Eliano. Intelligenza artificiale: Teorie e sistemi. Bollati Boringhieri, 1992.

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Frixione, Marcello. Logica, significato e intelligenza artificiale. FrancoAngeli, 1994.

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Lerda, Francesco. Intelligenza umana e intelligenza artificiale: Est modus in rebus. Rubbettino, 2002.

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Oriana, Persico, ed. AngelF: Diario di una intelligenza artificiale. Castelvecchi, 2009.

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Pedrazzi, Rebecca. Futuri possibili: Scenari d'arte e intelligenza artificiale. Jaca book, 2021.

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Stock, Oliviero. Intelligenza artificiale: Aree di ricerca, tendenze, prospettive. F. Angeli, 1994.

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Gallino, Luciano. L' attore sociale: Biologia, cultura e intelligenza artificiale. G. Einaudi, 1987.

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Book chapters on the topic "Intelligenza artificiale"

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Teti, Antonio. "Intelligenza Artificiale: la meta finale." In I blu. Springer Milan, 2011. http://dx.doi.org/10.1007/978-88-470-1815-0_3.

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Alessi, Cristina. "Intelligenza artificiale, professionalità e contratto di lavoro." In Studi e saggi. Firenze University Press, 2024. https://doi.org/10.36253/979-12-215-0507-8.02.

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The essay deals with the incidence of technological innovation on the contract of employment, from the perspective of the artificial intelligence's impact on the worker's skills. The author focuses, specifically, on the evaluation of the worker's performance while interacting with AI systems, and analyses the effects on salary, worker liability and the right to professional training.
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Schachter, Christel. "Intelligenza Artificiale in Higher Education: applicazioni, sfide e rischi." In Studies on Adult Learning and Education. Firenze University Press, 2024. http://dx.doi.org/10.36253/979-12-215-0504-7.35.

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This contribution represents a synthesis of the literature review conducted on the topic of Artificial Intelligence (AI) in Higher Education, with particular attention to orientation and human learning processes. The analysis has identified two main macro-themes. The first focuses on the current state of the art and future prospects of AI usage in Higher Education, distinguishing between technical and technological approaches and those more pedagogical in nature. Possible benefits emerge - such as increased personalization of orientation, teaching, and learning - although widespread adoption is still hindered by factors including limited resource availability and ethical and legal concerns. The second macro-theme identifies six educational challenges related to AI that require an interdisciplinary approach, particularly to address issues related to literacy in the use of new technologies, ethics, privacy, and data security. The conclusions emphasize that AI could widen the gap between technological advancement and its integration in Higher Education, highlighting the urgency of a deeper understanding of the implications and necessary adaptation by Universities and society in general, in order to ensure that educational processes are increasingly equitable and inclusive.
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Maio, Valerio. "Smart Factory, dignità del lavoratore ed intelligenza artificiale come forma di autoapprendimento." In Studi e saggi. Firenze University Press, 2024. https://doi.org/10.36253/979-12-215-0507-8.48.

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This article analyzes the impact of machine learning in the smart factory on the worker’s safety, freedom and dignity. First, the worker's enhancement is investigated starting from the evaluation of the psychological and moral impact of these devices. Therefore, cobots and automatic systems are studied that allow algorithmic management of working relationships, also for the need to contrast algorithmic opacity. Finally, this essay argues about the need for a general rule that introduces: a generalized right to human supervision for all automated decisions in the employment relationship; a general ban on the use of inductive and manipulative technologies in the workplace, also in the perspective of the impact on the autonomy of workers by the trend towards the gamification of work.
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Faleri, Claudia. "L’opacità algoritmica nei sistemi di intelligenza artificiale: continuando a ragionare intorno alle asimmetrie informative nei rapporti di lavoro." In Studi e saggi. Firenze University Press, 2024. https://doi.org/10.36253/979-12-215-0507-8.26.

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Moving from Riccardo Del Punta's writings on information asymmetries and regulatory techniques to compensate for them, the Author intends to highlight how these contributions can now constitute a beacon suitable to guide studies on the power imbalances arising from the use of digital platforms and artificial intelligence systems, due to the overt opacity of the algorithms used by them. This reflection is followed by a ‘Postilla’ with the Author's personal recollection of Riccardo Del Punta's methodological teachings, with particular reference to his approach to the debate on the relationship between labour law and economics.
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Santaella, Lucia. "Is Artificial Intelligence Intelligent?" In Challenges of the Technological Mind. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55333-2_2.

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Paaß, Gerhard, and Dirk Hecker. "What Is Intelligent About Artificial Intelligence?" In Artificial Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-50605-5_1.

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Serrano, Will. "iBuilding: Artificial Intelligence in Intelligent Buildings." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29933-0_33.

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Voigts, Eckart, Dietmar Elflein, and Jan Röhnert. "Artificial Intelligence - Intelligent Art? An Introduction." In Digitale Gesellschaft. transcript Verlag, 2024. http://dx.doi.org/10.14361/9783839469224-001.

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Kanchana Devi, V., E. Umamaheshwari, R. Sreenivas, and Nebojsa Bacanin. "Intelligent Farm Management Using Artificial Intelligence." In Digital Farming and Smart Agriculture for Sustainable Future. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003479154-6.

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Conference papers on the topic "Intelligenza artificiale"

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Thangadurai, K., T. Sathieskumar, T. Poornachandar, D. Arulselvam, M. Anusiya, and J. Nivedhana. "Intelligent Farming System Using Artificial Intelligence." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780285.

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Oleksenko, Roman, Valentyna Voronkova, Vitalina Nikitenko, Iryna Silina, and Roman Afonov. "CHATBOTS AS A KEY ENGINE OF ARTIFICIAL INTELLIGENCE: TRENDS AND PROSPECTS FOR DEVELOPMENT." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s16/90.

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Chatbot research, a pertinent and crucial domain within artificial intelligence and information technology, aims to showcase chatbots as pivotal catalysts for advanced artificial intelligence. With the evolution of technology and the burgeoning volume of information, users increasingly seek efficient means of interaction for convenient access to information, thereby facilitating communication. Chatbots, being instrumental in this endeavor, not only serve as key drivers of artificial intelligence but also play a pivotal role in various sectors, particularly in education. The integration of chatbots in education is gaining popularity as they enhance the learning process by providing interactive and engaging experiences. In this context, chatbots can employ game elements and challenges to stimulate active learning among students, offering support for learners, customers, and employees alike. This aligns with the broader trend of artificial intelligence technologies impacting various aspects of life. In education, the practical significance of chatbot research becomes evident as it significantly improves the quality of education, fosters individualization, and enhances convenience for students while optimizing the workflow for teachers. The research contributes substantially to the development of artificial intelligence and enhances the interaction between individuals and technology. Overall, the rapid technological changes, heightened demand for intelligent interaction systems, and the growing interest in communication automation drive the continuous improvement of chatbot functionality and efficiency across diverse domains of human activity.
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Cong, Huiying. "Hotel Intelligent Management System Based on Artificial Intelligence Technology." In 2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). IEEE, 2024. https://doi.org/10.1109/iiotbdsc64371.2024.00065.

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da Costa, Tony, and Matt Barrett. "Improving Cathodic Protection Monitoring Data in the Time of IIoT and Big Data." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16259.

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ABSTRACT This paper explores the advances in remote monitoring technology and the enhancements that can be made to ensure that pipeline integrity is maximized while operational efficiencies are optimized. Specifically focusing on the data that is generated by cathodic protection and pipeline integrity monitoring devices (e.g. rectifier monitoring), this paper explores how data analytics techniques, such as artificial intelligence and machine learning algorithms, can shine a light on historically ‘dark’ data, improving pipeline integrity operations and the safety of workers and the broader public. Examples of artificial intelligence and machine learning work, such as applying intelligent algorithms to data analysis streams, will be presented as means of reducing data overload while providing automated predictive failure analysis and optimization of cathodic protection systems.
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Terenzi, Benedetta, Valeria Menchetelli, Giacomo Pagnotta, and Ludovica Avallone. "Connection between AI and product design - Potentials and critical issues in the text-to-image software-assisted design experience." In Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004511.

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Driven by the demand for innovation, design is constantly evolving and is increasingly focused on integrating new technologies into design processes. Technological innovations have proven to be of fundamental importance, both in speeding up and improving production processes and managing and enriching the ideational process.We are now surrounded by software in which the participation of artificial intelligence is constant, but although it has become pervasive, we often do not even notice its presence. In the field of product design, several software exploiting artificial intelligence have been diffused to provide us with virtual products at the two-dimensional level. These software are capable of transforming the ideational stages of a project, as they generate original idea proposals in a matter of minutes. One of the most popular software is Midjourney, which is based on the key text-to-image concept, and can create images from prompts, and descriptive keywords provided by the designer. There are also interesting examples in this regard. Think of the work done by Filippo Nassetti, a British architect and designer, who came up with a series of sunglasses and eyeglasses by going through Midjourney, to obtain zoomorphic-inspired products that recall the textures of biological and mineral microstructures. The surreal collection of biomorphically shaped glasses is an example of the exploration of the creative potential of Midjourney software.Another interesting project is the one tackled by the Oio company for the Spawns spoon collection, in collaboration with Giosanpietro Jewelry. According to Simone Rebaudengo, director and co-founder together with Matteo Loglio of the Oio company, the products in the Spawns collection derive from an ongoing dialogue between different skills that has led to the collaboration between man and algorithm, resulting in an expansion of the handmade, merging the ancient world of craftsmanship with that of advanced technology, defining what they call 'craft intelligence.The paper aims to explore the relationships, potentials and limitations of integrating artificial intelligence into the design process through a design experience that tests the innovative potential of text-to-image software in product ideation and reflects on the redefinition of the designer's role in this rapidly and continuous changing scenario.The case study presented therefore experiments with a design process in which the ideation phase is supported by AI, particularly by text-to-image software, which allows textual descriptions to be translated into visual representations, generating highly detailed images and offering new creative possibilities. The work addressed outlines perspectives and critical issues, which deserve further investigation. On the one hand, one potential that is being outlined is the possibility of visualizing even complex ideas by entrusting the imaginative component to the software, having a multiplicity of alternatives and expanding the ideational range with novel solutions from which to make more informed design choices. Text-to-image software also simulates effective virtual prototyping, allowing a concept to be prefigured and visualized in a three-dimensional context before committing to physical production.On the other hand, text-to-image software has some significant limitations, for example in the poor correspondence of generated images with design intentions and the designer's need to acquire technical skills to effectively use text-to-image software, going on to delineate the possibility of a figure such as that of the prompt designer.Therefore, the presented project aims to contribute to the contemporary debate on the integration of AI into design processes with the collaboration of text-to-image software as another avenue for innovation in product design. The scenario sketched out defines an area in which the role of the designer and human creativities proves irreplaceable, leaving one to understand how more and more a process of understanding and collaboration with AI technologies is needed, and how the skills required of future designers are going to vary and expand.Nozaki, N., Konno, E., Sato, M., Sakairi, M., Shibuya, T., Kanazawa, Y., &amp; Georgescu, S., 2017, Application of artificial intelligence technology in product design. Fujitsu Sci. Tech. J, 53(4), 43-51.F. Morace, Design più umano. Quello che l’intelligenza artificiale non potrà mai darci. Egea, 2018S. Quintarelli, Intelligenza artificiale: cos'è davvero, come funziona, che effetti avrà. Bollati Boringhieri, Torino, 2020G. E. Valori, Intelligenza artificiale tra mito e realtà. Motore di sviluppo o pericolo imminente? Rubbettino, 2021L. Keeheon, A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design. Sustainability 2021, 13(5), 2668; https://doi.org/10.3390/su13052668M. Mitchell, L'intelligenza artificiale: una guida per esseri umani pensanti. Einaudi, 2022
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Lučić, Sonja. "VEŠTAČKA INTELIGENCIJA I PATENTNO PRAVO." In XVIII Majsko savetovanje. University of Kragujevac, Faculty of Law, 2022. http://dx.doi.org/10.46793/xviiimajsko.479l.

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Artificial intelligence is a field of technology that is developing intensively. Along with the development of artificial intelligence, the issue of its patent protection has become topical. Artificial intelligence systems are based on highly developed algorithms and mathematical models, phenomena with which patent law is traditionally in conflict. This issue is not just a national or European problem. There is also an intensive debate in the United States about the patentability of artificially intelligent systems. The author deals with the question of whether artificially intelligent systems can enjoy patent protection. The paper analyzes the case of "DABUS" which refers to an international patent application in which the artificially intelligent system DABUS is listed as the inventor. Numerous intellectual property offices around the world (eg American, British, German, Australian, EPO) have rejected such a patent application. On the other hand, the Federal Court of Australia has ruled that under the Australian Patent Act AI could be listed as the inventor. Recognition of AI as the inventor (not the owner) of inventions generated by artificial intelligence can have certain consequences, including in the field of copyright.
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Emuowhochere, Oghenevwegba T., Enesi Y. Salawu, Samson O. Ongbali, and Oluseyi O. Ajayi. "Future of Artificial Intelligence in Developing a Sustainable Intelligent Engineering Systems: A Review." In 2023 International Conference on Sustainable Engineering and Materials Development. Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-0wnidr.

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Studying the behaviour of engineering systems and processes from the perspective of applications of artificial intelligence provides an invaluable reference to improve their productivity and industrial development at large. This study comprehensively unveiled the problems faced by engineering systems and how artificial intelligence could be deployed as a technique for the future advancement of the industry. A brief background of the application of artificial intelligence in some selected engineering fields revealed that insufficient operational and process data from both plants and processes are major problems causing the survival of sustainable intelligent systems thereby, leading to incessant system failure. Furthermore, it was equally discovered that artificial intelligent for specific application are based on the data obtained from such application. Thus, there is no universally agreed artificial intelligent for a specific application. This made it a bit complex in developing intelligent systems. Keywords: Artificial Neural Network, Applications, Engineering, Training, Data.
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CAO, AN-YAN, QIAN LV, and LI-GONG CUI. "RESEARCH ON THE TRAINING OF ELECTROMECHANICAL COMPLEX TALENTS IN HIGHER VOCATIONAL COLLEGES UNDER THE BACKGROUND OF ARTIFICIAL INTELLIGENCE." In 2021 International Conference on Education, Humanity and Language, Art. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/ehla2021/35718.

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The new technology in artificial intelligence has a far-reaching impact on the intelligent development of the manufacturing industry. These new skill requirements are bound to promote the reform of vocational education in the field of intelligent control. It is urgent to train a group of highly skilled compound talents who can adapt to the development of artificial intelligence and intelligent manufacturing and can engage in the field of intelligent control technology. In this background, this paper takes Binzhou Polytechnic as an example, which is a high level vocational college with Chinese characteristics. We investigate the current situation and development prospect of artificial intelligence and intelligent manufacturing and analyze the problems and development opportunities of mechatronics technology specialty under the background of artificial intelligence development. We put forward some suggestions on the personnel training system of mechatronics technology from the aspects of specialty orientation and the integration and optimization of training specifications, the development of specialty curriculum system, the reform of teaching mode, and the construction of innovative teacher team.
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Ahmad, Adang Suwandi, and Arwin Datumaya Wahyudi Sumari. "Cognitive artificial intelligence: Brain-inspired intelligent computation in artificial intelligence." In 2017 Computing Conference. IEEE, 2017. http://dx.doi.org/10.1109/sai.2017.8252094.

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Chandra, Shalini, Anuragini Shirish, and Shirish C. Srivastava. "Artificially Intelligent or Humanly Artificial?" In SIGMIS-CPR '20: 2020 Computers and People Research Conference. ACM, 2020. http://dx.doi.org/10.1145/3378539.3393839.

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Reports on the topic "Intelligenza artificiale"

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Kaiser, Gail E., and Peter H. Feller. Intelligent Assistance without Artificial Intelligence. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada182094.

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editors, EAF. An intelligent approach to the artificial intelligence boom. East Asia Forum, 2025. https://doi.org/10.59425/eabc.1740988800.

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anis, sehab. Artificial Intelligence. ResearchHub Technologies, Inc., 2023. http://dx.doi.org/10.55277/researchhub.agwfnyrw.

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Roberts, Kamie. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ai.600-1.

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Novak, Jr, Simmons Gordon S., Porter Robert F., Kumar Bruce W., Causey Vipin, and Robert L. Artificial Intelligence Project. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada230793.

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Guerreiro, Joao, Sergio Rebelo, and Pedro Teles. Regulating Artificial Intelligence. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31921.

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Cwik, Cynthia, Paul Grimm, Maura Grossman, and Toby Walsh. Artificial Intelligence and the Courts: Artificial Intelligence Trustworthiness, and Litigation. American Association for the Advancement of Science, 2022. http://dx.doi.org/10.1126/aaas.adf0786.

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Karanicolas, Michael, and Mallory Knodel. Artificial Intelligence and the Courts: Artificial Intelligence and Bias - An Evaluation. American Association for the Advancement of Science, 2022. http://dx.doi.org/10.1126/aaas.adf0788.

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Firth-Butterfield, Kay, and Karen Silverman. Artificial Intelligence and the Courts: Artificial Intelligence - Foundational Issues and Glossary. American Association for the Advancement of Science, 2022. http://dx.doi.org/10.1126/aaas.adf0782.

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Fox, M. S., and S. F. Smith. Constraint-Based Scheduling in an Intelligent Logistics Support System: An Artificial Intelligence Approach. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada159043.

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