📋 Tender Overview
The president of CONCYTEC, Dr. Sixto Sanchez Calderon, together with representatives of the Secretariat of Government and Digital Transformation of the PCM, made a strategic visit to the research laboratories of the University of Lima (ULIMA). The objective of the day was to learn first-hand about the advances in data science, neurotechnology, nanomaterials and the ethical framework that the institution is implementing for the use of artificial intelligence - AI in Peru.
During the visit to the artificial intelligence, neurotechnology and nanomaterials laboratories, the delegation was able to learn about high-impact projects that position the academy as a key actor in solving social and technological problems.
Dr. Sanchez Calderon highlighted the level of research in this university institution, which reaffirms the importance of strengthening the articulation between the State and academia. It is essential to have reference centers that not only develop technology, but do so under an ethical framework and with a country vision, said the head of CONCYTEC.
In the artificial intelligence laboratory, innovative tools were presented such as SignoPeru, a dataset designed specifically for sign language recognition, marking a necessary difference compared to foreign models. Likewise, the development of a mobile application with 92% accuracy for the identification of the African snail, a pest of agricultural and health importance, was presented.
As part of the research, the Brainnow project is also being developed, referring to human-computer interaction, a framework that allows people with motor disabilities to control the cursor from a computer using brain signals. In addition, it allows the use of social robotics with the support of the NAO robot, to improve the emotional regulation of adolescents.
Regarding neurotechnology and analysis of human behavior. One of the most striking advances was the presentation of the ULIMA Emotional Faces Dataset, an interdisciplinary resource (psychology, communication and AI) that has data from 77 actors and three age groups (including children and older adults), available to the scientific community. Likewise, progress was shown in stress detection using the multimodal FAIR Dataset. This project, which achieves an accuracy of over 85%, combines physiological signals, respiration levels and biological markers of cortisol in saliva and hair to accurately determine post-stimulus stress levels.
On this tour, the University of Lima also presented its Center for Responsible Artificial Intelligence (CIAR), an initiative that seeks to turn the institution into a national benchmark. The CIAR is structured around four fundamental axes: AI Literacy, Ethics and Governance, Interdisciplinary Research and Technological Intelligence.
Finally, in the nanomaterials laboratory, projects aimed at the circular economy were exhibited, where agroindustrial waste is transformed into high-value organic inputs, reaffirming the universitys commitment to sustainable development.
