According to the results, there is an evidence of cultural bias for data science in Spanish language. The outcome of the consultation, which carried out on 12 April 2021, confirms that only 10 out of 23.771 datasets “speaks” Spanish.»
Los resultados de este estudio son una evidencia del sesgo cultural que existe entre la lengua inglesa y la española en la ciencia de datos. De los 23.771 conjuntos de datos que se encontraron con fecha de consulta 12/04/2021, tan solo 10 se encontraban en castellano
The study of art provides results that indicate the absence of involvement of Spanish language with AI and all the subareas, which consequently adversely affect to the education of future professionals.
El estudio arroja resultados que indican la falta de involucración del Español con la IA así como de todas las subáreas, afectando negativamente a la formación de futuros profesionales.
Topological Data Analysis (TDA) is an emergent field that aims to discover topological information hidden in a dataset. TDA tools have been commonly used to create filters and topological descriptors to improve Machine Learning (ML) methods. This paper proposes an algorithm that applies TDA directly to multi-class classification problems, even imbalanced datasets, without any further ML stage
Classification based on Topological Data Analysis Leer más »
There are substantial public health benefits gained through successfully alerting individuals and relevant public health institutions of a person’s exposure to a communicable disease. Contact tracing techniques have been applied to epidemiology for centuries, traditionally involving a manual process of interview and follow-up. This is time-consuming, difficult, and dangerous work. Manual processes are also open to incomplete information because they rely on individuals being willing and able to remember and report all contact possibilities.
In public health, contact tracing is the process to identify individuals who have been in contact with infected persons. Proximity tracing with smartphone applications and sensors could support contact tracing. It involves processing of sensitive personal data.
TechDispatch #1/2020: Contact Tracing with Mobile Applications Leer más »
(Deep Neural Networks in Geophysics) Esta tesis investiga las propiedades fundamentales de las redes neuronales en aplicaciones geofísicas. Incluye la reutilización de redes neuronales entrenadas, que son excelentes para identificar imágenes y aplicarlas para identificar capas de rocas y eventos geológicos en imágenes geofísicas. Esta tesis profundiza para evaluar si la teoría de incluir información específica de
Aprendizaje automático en análisis de datos sísmicos 4D Leer más »
Este informe presenta los hallazgos de un proyecto conjunto EIT / JRC que busca identificar los desafíos legales y regulatorios que el uso de la tecnología de IA puede traer a las nuevas empresas, en un intento de crear conciencia y conocimiento sobre posibles obstáculos.