Adriana Baravalle

Págs. 31-32

Lanzaron una guía para orientar a los estudiantes y a los docentes a utilizar con responsabilidad la inteligencia artificial en los trabajos académicos; los expertos consideran que la tecnología tiene potencialidades para los procesos de aprendizaje

La innovación en inteligencia artificial (IA) en América latina está a punto de dar un salto “cuántico”. El próximo 4 de octubre, la Universidad Austral será el escenario del lanzamiento oficial de SynapsIA, un foro regional que busca posicionarse como el epicentro de la IA en la región.

Artificial Intelligence research works and patents development of the last five years is shaping the future having direct impact in the global economy and socie-ty. This paper provides a comprehensive literacy analysis and metrics sourced from the Lens.org platform. We focused the analysis on the top ten articles and patents in AI. From 1978 the total amount of research production ed are 1,262,789 papers (198,163 from 2019 to 2024), being the most productive year 2023 (74,426 articles).… Mostrar más

Artificial Intelligence research works and patents development of the last five years is shaping the future having direct impact in the global economy and socie-ty. This paper provides a comprehensive literacy analysis and metrics sourced from the Lens.org platform. We focused the analysis on the top ten articles and patents in AI. From 1978 the total amount of research production ed are 1,262,789 papers (198,163 from 2019 to 2024), being the most productive year 2023 (74,426 articles). The analysis underscores Asia, notably China (CH), as the primary hub for artificial intelligence research. Institutional affiliations reside in Asia, with the Chinese Academy of Sciences leading with 5,512 articles. Wei Wang emerges as a prominent figure and thematic dominate cluster is Computer Vision. Notably, 40% of articles are free access, with robust funding from gov-ernments and private and strong collaboration between CH, the United States (US), and the United Kingdom (UK). On the other hand, the last five years production were 316,883 patents. US leads the applications followed by CH. Samsung Electronics Co. Ltd. Is the first in east and IBM lead the west region. The top in-ventors are nucleate at Qualcomm Inc. and LG Electronics. The main cluster is Computing arrangement based on specific computational models, such machine learning, learning methods, combinations of networks, backpropagation, recurrent networks, probabilistic graphical models and inference or reasoning models. This analysis sheds light to researchers, policymakers, investors, and inventors on the current landscape of AI research and development, showing as main insight exist a focus gap between industry and academy. Mostrar menos

El sistema de Orientación Vocacional Informatizado (version 3) responde a la necesidad de contar con un instrumento fiable de evaluación de los intereses de los sujetos de la autopercepción de las aptitudes. Resulta particularmente válido en nuestro medio en la medida en que se ajusta a las modalidades educativas existentes. En tal sentido, esta prueba es el resultado de extensas investigaciones en el ámbito de la orientación vocacional y de un análisis crítico de los test extranjeros, cuyas… Mostrar más

El sistema de Orientación Vocacional Informatizado (version 3) responde a la necesidad de contar con un instrumento fiable de evaluación de los intereses de los sujetos de la autopercepción de las aptitudes. Resulta particularmente válido en nuestro medio en la medida en que se ajusta a las modalidades educativas existentes. En tal sentido, esta prueba es el resultado de extensas investigaciones en el ámbito de la orientación vocacional y de un análisis crítico de los test extranjeros, cuyas características no parece adecuarse a los requerimientos de nuestra población.

Finalidad:
- CIP-R: Evaluación de los intereses académicos y ocupacionales.
- IAMI: Evaluación de la autopercepción de habilidades en diferentes áreas. Mostrar menos

Reliability models are essential for predicting the behaviour of some systems; being useful both for its design and for its evaluation. The importance of knowing the conditions that cause a change in its behaviour lies in that they allow finding cause-effect relationships that prediction.

SARS-CoV-2 coronavirus, severe acute respiratory syndrome, causes COVID-19; a pandemic respiratory disease.

This article aims to apply concepts that the reliability models for the… Mostrar más

Reliability models are essential for predicting the behaviour of some systems; being useful both for its design and for its evaluation. The importance of knowing the conditions that cause a change in its behaviour lies in that they allow finding cause-effect relationships that prediction.

SARS-CoV-2 coronavirus, severe acute respiratory syndrome, causes COVID-19; a pandemic respiratory disease.

This article aims to apply concepts that the reliability models for the analysis of COVID 19, understanding it as a dynamic system evaluated through the consequences of its treatment that have been measured in different regions of the world during 2020 and 2021. Regarding the nature of the processed information, only ed data of the COVID-19 spread available in freely accessible places and validated by the World Health Organization and health governing institution of different countries are considered.

It is particularly important to analyze the daily increase in cases, number of deceased persons, recovered persons, infection rates and their relationship with vaccinated persons. The aim is to predict results that show the evolution of the infected population and assess the quality of the tool developed by comparing the theoretical prediction and the statistical survey of official or governmental data from different regions and countries of the world.

The analysis of the system is always carried out from the formulation of the equilibrium from which the attrition of the health of populations is anticipated or, equivalently, the attrition of dynamic systems whose parameters are extracted from historical measurements and corroborated with measurements of near past scenarios. Variations in the theoretical reliability of the system are verified from the beginning to the end, following the variability of the pre-existing published measurements Mostrar menos

Las plataformas de redes financieras privadas globales conforman un complejo ecosistema en el que se interrelacionan emprendedores e inversores para fomentar nuevos negocios, mediante inversiones de alto riesgo, donde el grado de incertidumbre acerca del retorno de la inversión es elevado. Los emprendedores buscan atraer inversores para poner en marcha sus proyectos de empresa, los inversores buscan invertir en proyectos prometedores o adquirir nuevas compañías. El desafío de este trabajo de… Mostrar más

Las plataformas de redes financieras privadas globales conforman un complejo ecosistema en el que se interrelacionan emprendedores e inversores para fomentar nuevos negocios, mediante inversiones de alto riesgo, donde el grado de incertidumbre acerca del retorno de la inversión es elevado. Los emprendedores buscan atraer inversores para poner en marcha sus proyectos de empresa, los inversores buscan invertir en proyectos prometedores o adquirir nuevas compañías. El desafío de este trabajo de investigación es aportar herramientas de análisis que permitan que ambas partes logren su objetivo con el menor riesgo posible.

Mediante el modelado de datos históricos de este ecosistema, es posible detectar patrones de relación que permiten conocer aquellas empresas emergentes (“startups”) que representan una mejor opción de inversión.

Por las características y nivel de complejidad del problema, existen cuatro desafíos en este proyecto: la accesibilidad a la información (por la escasez de datos abiertos), la dimensionalidad (por el volumen de información y la cantidad de actores), la dinámica y topología variadas (por las características diversas de los distintos periodos, localizaciones, cantidad y tipos de relaciones), y el tratamiento tanto de datos relacionales y no relacionales.

El enfoque utilizado combina el análisis de links en redes sociales (SNA) con soporte en los aportes que brinda la teoría de redes y grafos, y las técnicas de data mining para descubrir los patrones de relación entre los integrantes de estas comunidades, para poder determinar un ranking de empresas emergentes que se integre a un tablero de comando que permita analizar los datos y se convierta en una herramienta de recomendación y soporte para decidir al momento de invertir. Mostrar menos

Wikidata is a free and open knowledge base from the Wikimedia Foundation, that not only acts as a central storage of structured data for other projects of the organization, but also for a growing array of information systems, including search engines. Like Wikipedia, Wikidata's content can be created and edited by anyone; which is the main source of its strength, but also allows for malicious s to vandalize it, risking the spreading of misinformation through all the systems that rely on it… Mostrar más

Wikidata is a free and open knowledge base from the Wikimedia Foundation, that not only acts as a central storage of structured data for other projects of the organization, but also for a growing array of information systems, including search engines. Like Wikipedia, Wikidata's content can be created and edited by anyone; which is the main source of its strength, but also allows for malicious s to vandalize it, risking the spreading of misinformation through all the systems that rely on it as a source of structured facts. Our task at the WSDM Cup 2017 was to come up with a fast and reliable prediction system that narrows down suspicious edits for human revision. Elaborating on previous works by Heindorf et al. we were able to outperform all other contestants, while incorporating new interesting features, unifying the programming language used to only Python and refactoring the feature extractor into a simpler and more compact code base.
https://atpvp.academia.edu/Departments/Computer_Engineering/Documents Mostrar menos

This Paper presents our solution for the 2016 International Cybersecurity Data Mining Competition, which is associated with the 23th International Conference on Neural Information Processing (ICONIP 2016), Kyoto, Japan. The competition consists of three tasks to be solved, the first one orientated to text mining and news categorization, the second one to classification and anomaly detection with a highly imbalanced target and the last one to malware detection in mobile applications. The… Mostrar más

This Paper presents our solution for the 2016 International Cybersecurity Data Mining Competition, which is associated with the 23th International Conference on Neural Information Processing (ICONIP 2016), Kyoto, Japan. The competition consists of three tasks to be solved, the first one orientated to text mining and news categorization, the second one to classification and anomaly detection with a highly imbalanced target and the last one to malware detection in mobile applications. The software used to solve these tasks were R and Python. Mostrar menos