At present, the joint capacity of computing power, large volume data sets, complex application domains and the evolution of algorithms have enhanced the development and applications of Machine Intelligence or Artificial Intelligence (AI) in areas of great impact on socio-economic and scientific activities of man.
Examples of intelligent algorithms have been applied to e-government, smart cities, health and welfare, space sciences, etc. The ability to provide intelligent decision-machines allows an increase in the ability to forecast, for example, weather, epidemics, stock market behavior (financial applications), etc.
These algorithms and techniques have allowed access to and the processing of large volumes of data (known as Big Data) that are obtained from numerous remote sensors, instruments, social networks, news, metadata, and an innumerable amount of heterogeneous data sources.
The results of implementing AI in these fields not only benefits scientific researchers, but also the community itself. By integrating academic knowledge together with the challenges presented by local and regional problems, it is possible to improve and empower different sectors of society.
This international Workshop aims to address 4 fundamental aspects:
- Provide a course in Machine Learning (ML), aimed at students, young researchers, entrepreneurs, technical staff, entrepreneurs, etc., through an intense program (1 week) endorsed by the Facultad de Ciencias Exactas y Tecnología de la Universidad Nacional de Tucumán.
- Involve decision-makers and stakeholders within different disciplines to participate in order to encourage the use of AI techniques in their fields. In particular, we wish that local authorities (from universities, different public and government institutions) can participate and promote this activity.
- Show how AI can help solve specific regional and/or local issues. For this, we aim to provide a space for analyzing the needs of the community to understand and propose AI-based solutions. We seek to implement solutions, for example, for the Provincial Health System - SIPROSA, taking advantage of the experience of invited professors in the field of public health in the United Kingdom and in Europe in general.
- Promote applications, knowledge transfer and entrepreneurship with companies of local and regional relevance. Generate concrete ties of cooperation between the diferent sectors that will be present.