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Inteligencia artificial (IA) y producción de conceptos en santo Tomás de Aquino
(Universidad Panamericana, 2024-08-13)
El término de inteligencia artificial (IA) se ha estado utilizando para referirse a una tecnología que es capaz de imitar las operaciones cognoscitivas del ser humano mediante el uso de sistemas computacionales y programas informáticos. Sin embargo, es importante indagar si es correcto aplicar el calificativo de inteligencia a esa tecnología digital. Para lograr ese objetivo, consideramos oportuno aprovechar el análisis del proceso de abstracción y producción de conceptos expuesto por santo Tomás de Aquino, que nos permita conocer la naturaleza de la inteligencia humana y compararla con los procesos de la (IA). Santo Tomás sintetiza magistralmente el pensamiento clásico y cristiano occidental, ofreciendo fundamentos gnoseológicos que podemos utilizar para valorar lo que se ha llamado inteligencia artificial a la luz de la primera operación de la mente humana que es la simple aprehensión o abstracción.
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Thematic mapping of artificial intelligence in management: A bibliometric approach using co-word analysis (2015–2024)
(Pro-Metrics, 2025)
Salgado-García, Jorge Arturo
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Objective: The objective of this study was twofold: first, to map the main themes in the literature on artificial intelligence in management, and second, to explore the relationships between these themes. Design/Methodology/Approach: A co-word analysis was performed on 15,835 articles indexed in Scopus (2015–2024), with the author’s keywords in the field of administration constituting the unit of analysis. The semantic network under consideration was constructed using the 50 most frequent terms, applying normalization by association and the Walktrap algorithm for cluster detection. Results/Discussion: The results of the analysis indicated that the extant literature was organized around three thematic groups. The first of these focused on conversational interfaces, the second on digital transformation, and the third adopted a computational approach. The thematic structure identified reflected a field in the process of consolidation, with a predominance of technical approaches and limited functional specialization. Conclusion: Contemporary research endeavors prioritized methodological development over strategic implementation in particular organizational contexts. These findings underscored the necessity for more comprehensive approaches that articulated technology, management, and governance. Moreover, they called for a future agenda that was oriented toward its adoption from sociotechnical perspectives. ©The authors ©Iberoamerican Journal of Science Measurement and Communication (Revista Iberoamericana de Medición y Comunicación de la Ciencia) ©Pro Metrics.
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Entre la eficiencia y la desinformación: la integración de la inteligencia artificial en el periodismo mexicano
(Universidad Complutense de Madrid (UCM), 2025-02-26)
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García Félix Edgar Miguel
El impacto de la inteligencia artificial (IA) en el periodismo varía según contextos socioeconómicos y culturales, y el caso de México no es la excepción. Para conocer cómo los medios mexicanos integran herramientas de IA en sus procesos, este estudio analiza, mediante entrevistas de profundidad, los patrones de adopción tecnológica de diez medios digitales mexicanos reconocidos por su credibilidad. Su integración incluye la optimización de tareas y, en menor medida, la generación de contenido. A pesar de estas iniciativas, la IA enfrenta múltiples barreras en México como los altos costos de implementación, la desconfianza hacia las herramientas y la falta de capacitación técnica, lo que limita su uso. Este panorama contrasta con otras regiones, donde la IA es usada ampliamente en la creación de contenidos automatizados para audiencias específicas. Otro desafío crítico es el riesgo de desinformación, exacerbado por la capacidad de las herramientas de IA para generar contenido hiperrealista que puede ser manipulado. Aunque estas tecnologías ofrecen eficiencia, los medios mexicanos subrayan la necesidad de un control humano riguroso para garantizar la precisión y la ética de la información. En este contexto, los hallazgos revelan una paradoja: mientras que la IA tiene el potencial de transformar el periodismo, su adopción está marcada por tensiones económicas, éticas y tecnológicas. Para superar estas barreras es necesario invertir en infraestructura, capacitación y regulaciones que fomenten su uso responsable. ©Los autores ©Universidad Complutense de Madrid (UCM) ©Estudios sobre el Mensaje Periodístico.
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Unlocking Antimicrobial Peptides: In Silico Proteolysis and Artificial Intelligence-Driven Discovery from Cnidarian Omics
(MDPI, 2025)
Barroso, Ricardo Alexandre
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Agüero-Chapin, Guillermin
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Sousa, Rita
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Antunes, Agostinho
Overcoming the growing challenge of antimicrobial resistance (AMR), which affects millions of people worldwide, has driven attention for the exploration of marine-derived antimicrobial peptides (AMPs) for innovative solutions. Cnidarians, such as corals, sea anemones, and jellyfish, are a promising valuable resource of these bioactive peptides due to their robust innate immune systems yet are still poorly explored. Hence, we employed an in silico proteolysis strategy to search for novel AMPs from omics data of 111 Cnidaria species. Millions of peptides were retrieved and screened using shallow- and deep-learning models, prioritizing AMPs with a reduced toxicity and with a structural distinctiveness from characterized AMPs. After complex network analysis, a final dataset of 3130 Cnidaria singular non-haemolytic and non-toxic AMPs were identified. Such unique AMPs were mined for their putative antibacterial activity, revealing 20 favourable candidates for in vitro testing against important ESKAPEE pathogens, offering potential new avenues for antibiotic development. ©The authors. ©MDPI.
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Determining the medical Spanish translation capabilities of three artificial intelligence translation models for Mohs micrographic surgical instructions
(Elsevier Inc., 2024)
Scheinkman, Ryan
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Montoya, Sofia
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Náder, Maria
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Ramírez, Mariana
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Barbato, Kristiana
To the Editor: Artificial intelligence (AI) has been used to simplify medical-legal documentation.1 In order to protect patients from mistranslations, it is critical to assess the accuracy of AI translations. We attempted to assess the current translational capacities of 3 AI models for Mohs micrographic surgery documentation. The purpose of this analysis was to see if these programs had capabilities that were comparable to human medical translators and determine their capacity for future medical translation applications. In order to determine the validity of these models, preoperative and postoperative instructions from multiple sources were translated by Google Translate, Amazon Translate, and DeepL to Spanish from 3 publicly available academic center websites, specifically: the University of Mississippi Medical Center (University of Mississippi), University of Rochester, and Brigham Cancer Center.2-5 Accuracy of translation was then assessed by 3 native Spanish-speaking medical professionals and students that received C-1 levels on the Test of English as a Foreign Language demonstrating advanced English proficiency. ©The authors © Journal of the American Academy of Dermatology ©Elsevier Inc.
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Using Social Robotics to Identify Educational Behavior: A Survey
(MDPI, 2024)
Romero-C. de Vaca, Antonio J.
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Melendez-Armenta, Roberto Angel
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The advancement of social robots in recent years has opened a promising avenue for providing users with more accessible and personalized attention. These robots have been integrated into various aspects of human life, particularly in activities geared toward students, such as entertainment, education, and companionship, with the assistance of artificial intelligence (AI). AI plays a crucial role in enhancing these experiences by enabling social and educational robots to interact and adapt intelligently to their environment. In social robotics, AI is used to develop systems capable of understanding human emotions and responding to them, thereby facilitating interaction and collaboration between humans and robots in social settings. This article aims to present a survey of the use of robots in education, highlighting the degree of integration of social robots in this field worldwide. It also explores the robotic technologies applied according to the students’ educational level. This study provides an overview of the technical literature in social robotics and behavior recognition systems applied to education at various educational levels, especially in recent years. Additionally, it reviews the range of social robots in the market involved in these activities. The objects of study, techniques, and tools used, as well as the resources and results, are described to offer a view of the current state of the reviewed areas and to contribute to future research. ©The authors ©MDPI.
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Preface : Advances in Soft Computing : 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings, Part II
(Springer, 2024-01-01)
Calvo, Hiram
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The Mexican International Conference on Artificial Intelligence (MICAI) is a yearly international conference series that has been organized by the Mexican Society for Artificial Intelligence (SMIA) since 2000. MICAI is a major international artificial intelligence (AI) forum and the main event in the academic life of the country’s growing AI community. This year, MICAI 2023 was graciously hosted by the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) and the Universidad Autónoma del Estado de Yucatán (UAEY). The conference presented a cornucopia of scientific endeavors. ©Springer.
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The Language of Nature and Artificial Intelligence in Patient Care
(MDPI, 2023)
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Alonso-Stuyck, Paloma
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Given the development of artificial intelligence (AI) and the conditions of vulnerability of large sectors of the population, the question emerges: what are the ethical limits of technologies in patient care? This paper examines this question in the light of the "language of nature" and of Aristotelian causal analysis, in particular the concept of means and ends. Thus, it is possible to point out the root of the distinction between the identity of the person and the entity of any technology. Nature indicates that the person is always an end in itself. Technology, on the contrary, should only be a means to serve the person. The diversity of their respective natures also explains why their respective agencies enjoy diverse scopes. Technological operations (artificial agency, artificial intelligence) find their meaning in the results obtained through them (poiesis). Moreover, the person is capable of actions whose purpose is precisely the action itself (praxis), in which personal agency and, ultimately, the person themselves, is irreplaceable. Forgetting the distinction between what, by nature, is an end and what can only be a means is equivalent to losing sight of the instrumental nature of AI and, therefore, its specific meaning: the greatest good of the patient. It is concluded that the language of nature serves as a filter that supports the effective subordination of the use of AI to its specific purpose, the human good. The greatest contribution of this work is to draw attention to the nature of the person and technology, and about their respective agencies. In other words: listening to the language of nature, and attending to the diverse nature of the person and technology, personal agency, and artificial agency.
Scopus© Citations 2 10 1
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Artificial Intelligence and Its Application in the Study of the Legal Complexity of the Value Added Tax Act in Mexico
(2022)
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Carriles Álvarez, Alonso
The text is a raw material, researchers need to extract information and patterns of value. Through the use of AI tools in conjunction with the hard sciences, it is now possible to access significant sources of knowledge that previously remained hidden in the form of patterns of ideas and feelings stored in large volumes of text. The analysis of the raw text of the Law of Value-Added Tax (VAT) considered the three elements: structure, language, and interdependence. With these three elements, a legal complexity index was constructed, and the results of the model’s parameters show the following: the value for the legal complexity variable was negative (−1.39), which means that when the legal complexity index per unit increases, tax collection will decrease 1.39%. It is helpful to remember that interdependence is the component that outweighs the rest within the legal complexity index. The GDP estimator showed a positive sign, and its magnitude was 4.51; this means that when this estimator increases 1%, VAT collection could increase a 4.5%. © 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Feature Selection Methods Evaluation for CTR Estimation
(2016)
Miralles-Pechuán, Luis
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The most widespread payment model in online advertising is Cost-per-click (CPC). In this model the advertisers pay each time that a user generates a click. In order to enhance the income of CPC Advertising Networks, it is necessary to give priority to the most profitable adverts. The most important factor in the profitability of an advert is Click-through-rate (CTR), which is the probability that a user generates a click in a given advert. In this paper we find which feature selection method between PCA, RFE, Gain ratio and NSGA-II is better suited, or if otherwise, the machine learning classification methods work best without any feature selection method. ©2016 IEE
Scopus© Citations 1 19 6

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