La inteligencia Artificial y su Impacto en la Industria de la Ingeniería

The main objective of this work is to analyze the impact of Artificial Intelligence (AI) on the engineering industry. Key aspects of integrating AI into process automation, its impact on employment and the economy, as well as its potential to improve quality and efficiency in the industry have been examined. The scope of the article includes a comprehensive review of existing literature on the topic, as well as a critical analysis of the results and conclusions of relevant studies. In addition, successful cases of AI application in the engineering industry in China, Europe, and America have been identified and examined. Qualitative and quantitative research methods and techniques were used to carry out the investigation. Articles, books, studies published in journals, and specialized databases were reviewed. Additionally, analyses were conducted to evaluate the results and conclusions obtained. The article concludes that AI has great potential to improve efficiency, quality, and optimization in the engineering industry. However, it is also important to consider the potential negative impacts on employment and the economy. Therefore, a balanced and responsible approach is necessary for the integration of AI in the industry.El objetivo principal de este trabajo es analizar el impacto de la Inteligencia Artificial (IA) en la industria de la ingeniería. Se han examinado los aspectos claves de la integración de la IA en la automatización de procesos, su impacto en el empleo y la economía, así como su potencial para mejorar la calidad y eficiencia en la industria. El alcance de este artículo incluye una revisión exhaustiva de la literatura existente sobre el tema, así como un análisis crítico de los resultados y conclusiones de estudios relevantes. Además, se han identificado y examinado casos de éxitos de la aplicación de la IA en la industria de la ingeniería en China, Europa y América. Para llevar a cabo la investigación se utilizaron métodos y técnicas de investigación de tipo cualitativa y cuantitativa. Se revisaron artículos, libros, estudios publicados en revistas y bases de datos especializadas. También se realizaron análisis para evaluar los resultados y las conclusiones obtenidas. El artículo se concluye afirmando que la IA tiene un gran potencial para mejorar la eficiencia, la calidad y la optimización en la industria de la ingeniería; sin embargo, es importante tener en cuenta los posibles impactos negativos en el empleo y la economía, por lo tanto, es necesario un enfoque equilibrado y responsable de la integración de la IA en la industria

Visão Computacional:: Um Novo Campo De Pesquisa Em Cognição Visual

The purpose of the present article is to present a newfield of work for specialists in visual perception. Following cognitionscience and one of its areas - artificial intelligence - a new field of researchemerges, which is called computer vision. Mathematicalmorphology is emphasized in order to evidence the similarity betweenhuman and computer vision, by means of the concepts of Fourierformalism. The problems involved in image processing research arediscussed and a way of reducing high costs of conducting studies in thefield is then presented. The main scope of this new field of research isthe development of new models for visual cognition.RESUMO - O presente artigo objetiva apresentar um novo campo de pesquisa para especialistas em percepção visual. A partir da ciência da cognição e, em uma de suas áreas a inteligência artificial, diferencia-se um novo campo de pesquisa, denominado visão computacional. A chamada morfologia matemática é destacada para evidenciar, através dos conceitos do formalismo de Fourier, uma similaridade entre a visão humana e a computacional. Os problemas são discutidos para uma pesquisa no processamento da imagem, e apresenta-se uma forma de minimizar os elevados custos para a realização das pesquisas nesta área. O desenvolvimento de novos modelos para a cognição visual é o objetivo principal para este novo campo de pesquisa

Papers for Task Force Meeting on Future and Impacts of Artificial Intelligence, 15-17 August 1983

IIASA's Clearinghouse activity is oriented towards issues of interest among our National Member Organizations. Here, in the forefront, are the issues concerning the promise and impact of science and technology on society and economy in general, and some selected branches in particular. Artificial Intelligence (AI) is one of the most promising research areas. There are many indications that the long predicted upswing of this discipline is finally in the making. A recent survey had Nobel-laureates predict that the most influence in the next century will be made by computers, AI, and robotics. Already, at present, "expert" systems are emerging and applied; natural language understanding systems developed; AI principles are used in robots, flexible automation, computer aided-design, etc. All this will have an, as yet, unspecified social and economic impact on the activity of human beings, both at work and leisure. It certainly takes interdisciplinary and cross-culturally based studies to enhance the understanding of this complex phenomenon. This is the aim of our endeavors in the field which is in excess of our duty to pass useful knowledge to our constituency. We think that IIASA, cooperating in this respect with the Austrian Society for Cybernetic Studies (ASCS), can develop some comparative advantage here. This publication contains papers written by leading personalities, both East and West, in the field of artificial intelligence on the future and impact of this emerging discipline. We hope that the meeting, where the papers will be discussed, will not only identify important areas where the impact of artificial intelligence will be felt most directly, but also find the most rewarding issues for further research

Impacts of Artificial Intelligence

This book, which is intended to serve as the first stage in an iterative process of detecting, predicting, and assessing the impacts of Artificial Intelligence opens with a short "one-hour course" in AI, which is intended to provide a nontechnical informative introduction to the material which follows. Next comes an overview chapter which is based on an extensive literature search, the position papers, and discussions. The next section of the book contains position papers whose richness and diversity illustrate the wealth of opinions and research directions that today fall under the umbrella term "AI research". The papers are followed by a select bibliography containing nearly 700 books, articles, and research memoranda on AI-related topics, together with a thesaurus and KWIC index to facilitate the retrieval of information. The book closes with and index and two appendices, one listing the names and addresses of the contributing scientists and the other giving details of the AI curriculum at the University of Vienna