To keep up with rapid Artificial Intelligence (AI) development, the Ministry of Science, Technology, Knowledge and Innovation published the first Artificial Intelligence Policy in 2021. It contemplates the development of enabling factors, the use and development of this technology, and aspects of ethics and safety, proposing a regulatory framework for its application.

The document’s main objective is to insert Chile into the vanguard and global collaboration networks related to AI, with a research, development and innovation ecosystem that creates capacities in the productive, academic, and state sectors, which contribute to sustainable development and improve quality of life.

This shows how AI has acquired a leading role in recent years and is an important part in various sectors of society given the benefits it brings to the economy, medicine, entertainment, science, and others. Its presence is projected to be rising.

To face this growing demand, the Artificial Intelligence and Data Analysis research line of the Advanced Center for Electrical and Electronic Engineering (AC3E), develops projects and products that provide industry and society with solutions.

Its research areas include sensor signal extraction and processing, designing unconventional data devices and processors, digitization (coding) and representation (compression) of information, communications between devices and data agents, interpretations and extraction of meaning from data (data mining), and machine learning methods, statistical learning, inference and decision-making.

The researchers of this line work on frontier issues related to data storage and processing and interpretation through AI and data analytics tools. The team includes researchers from UTFSM and Universidad de Chile, and its members stand out for their knowledge and ability to use tools to address open problems that can be of public use and benefit to the industry.

Considering the massive use of data and AI, the national industry faces many challenges. In this sense, the work carried out by scientists in sound processing, data transmission and storage, and the design of models and tools for learning and decision-making is fundamental.