Artículo
Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
Browse
Search Results
- Analyzing the parenthood of artificial children in fiction films: Chappie & A.I. artificial intelligence(2025-02-01) Arriola Mendoza, Jorge; Maldonado Gómez, Ana Lucía; Serrano Bosquet, Francisco Javier; Valerio Ureña, GabrielCinema has long reflected social opinions on topics like Artificial Intelligence. Analyzing sequences from Chappie (2015) and A.I. Artificial Intelligence (2001), a discourse analysis examined parenthood through developmental psychology, focusing on attachment theory, parenting styles, post-adoption circumstances, and child characteristics. The films show varied discourses: attachment styles are mostly secure and dismissive-avoidant, while parenting styles are generally authoritarian with nuances. Post-adoption circumstances and child characteristics significantly influence the relationship between parents and the artificial child. Society views the development of AI towards self-awareness positively and even expects it to happen.
- Editorial: New challenges and trends in rehabilitation devices based on AI and optimization(Frontiers, 2023-09-08) Ponce Cruz, Pedro; Alfaro Ponce, Mariel; López Caudana, Edgar Omar; McDaniel, Troy; Montesinos Silva, Luis Arturo; López Gutiérrez, Jesús Ricardo; Lugo González, Esther; https://ror.org/03ayjn504; https://ror.org/03efmqc40; https://ror.org/059ex5q34; https://ror.org/003eaqr04This editorial paper presents a comprehensive overview of recent advancements and breakthroughs in artificial intelligence (AI) and neural networks, with a particular focus on their applications in various fields such as human activity recognition, medical image steganography, lower limb prosthetics, assistive robots for Autism Spectrum Disorder (ASD), and wearable assistive devices for visually impaired individuals.
- Information communication technologies, artificial intelligence, and social robotics:a complex-thinking vector in higher education?(Journal of Social Studies Education Research (JSSER), 2023-06-21) Baena Rojas, José Jaime; Castillo Martínez, Isolda Margarita; Mendez Garduño, Juana Isabel; Suárez Brito, Paloma; López Caudana, Edgar Omar; https://ror.org/03ayjn504Various technological devices, especially information communications technologies (ICTs), have become increasingly remarkable in higher education to help develop students' skills and qualifications. Considering this trend, supported by several academic theories, this paper proposes a breakthrough guidebook for universities and other scholastic environments based on reasoning-for-complexity using mainly artificial intelligence (AI) and social robotics (SR). The current research provides the instructions to follow in a real class supported by AI and SR with a precise compendium of steps. On the one hand, this is done by reviewing previous studies on educational processes with AI and SR and synthesizing their findings to draw out common themes from the literature. These topics are categorized into clusters in the form of guiding questions that professors can use to prepare their classes. On the other hand, it describes the students' steps for completing the activities. These were developed with previous forms to establish different profiles and apply custom-made assessment activities. The final part of this paper involves a set of reflections regarding these two technological resources (AI and SR) to demonstrate their utility in education.
- A basic permanent magnets array interaction project for teaching artificial intelligence as a complementary model(IEEEXplore, 2020-08-18) Varas Ibarra, Carlos; Sánchez Ochoa Ariza, Fernando; Luna Calderón, Luis Julio; Molina Gutiérrez, Arturo; López Caudana, Edgar Omar; https://ror.org/03ayjn504There are new algorithms such as artificial intelligence (AI) methodologies that have achieved accurate representation of experimental systems. On the other hand,undergraduate freshmen students must understand AImethodologies since the industry has developed several products based on those and some academic problems also can be solved using AI. If those students do not learn how to model real systems using AI, they will be losing the opportunity of applying this powerful tool for solving several real problems in their professional life. Since the AI model can be a representation for forecasting the performance of the real model, this model can help the design process and provide information during its operation. This paper proposes an engineering project to teach artificial intelligence algorithms using real systems that are non-linear. Since permanent magnets are used in several applications, they can be attractive for modeling those when they are interacting between them; hence, this paper shows the interaction among them when they are deployed as an electrical power source. Moreover, this source could be classified as a renewable energy source. The basic generation of electrical energy is based on changing the magnetic field. Although the operation principle is basic, the electrical source has a non-liner description that is extremely complex so AI could be applied to create a model that represents those non-linear relationships in a precise manner. The main goal of this work is to describe an undergraduate project that can be used for teaching how to model a real system using AI algorithms. The main characteristics and properties of the permanent magnets are studied for the comprehension of how magnets can be implemented. It is also examined the viability for the construction of an electric motor using only permanent magnets, based on the analysis of different designs and materials and finally an AI model is created.