Discover the Institute

The Ministry of Science, Technology and Innovation (MCTI) plays a crucial role in supporting scientific and technological advancement in Brazil, establishing international partnerships and promoting scientific exchange.

The LNCC Artificial Intelligence Institute in collaboration with the National Scientific Computing Laboratory (LNCC) is a proposal to reinforce these activities. The Institute will be responsible for identifying the needs of researchers and the scientific community in the area of ​​artificial intelligence, in addition to organizing events, training and facilitating Brazil's participation in international initiatives.

Mission

Promote the advancement of artificial intelligence in Brazil through strategic partnerships.

Vission

Be recognized nationally and internationally as a center of excellence in artificial intelligence research.

Values

Commitment to scientific excellence, innovation, collaboration, ethics, diversity and national development.

The LNCC Artificial Intelligence Institute, in partnership with MCTI, has embarked on a journey of collaboration and engagement with the Global Partnership on Artificial Intelligence (GPAI). This international initiative brings together researchers, industry, civil society, government and international institutions to boost technological development and its applications in the field of Artificial Intelligence (AI).

Our participation in GPAI involves both online and in-person activities at the organization's meetings. We are committed not only to contributing to the already established working groups, but also to expanding the dialogue to involve the Brazilian scientific community. In this way, we seek to bring GPAI's discussions and decisions to the national scene, promoting a valuable exchange of knowledge and perspectives.

Know more

AI Centers

The LNCC Artificial Intelligence Institute aims to boost AI research in Brazil through Applied Research Centers, funded in collaboration with public and private institutions. Our intention is to work together with these centers to facilitate communication of possible opportunities.

Check out

Research Areas

Justice
Environment
Generative AI
Robotics
Dynamic Systems
Health
Education
AI Tools Development
Industry
Image Analysis and Processing
Digital Preservation
Security and Defense
Data Centric AI
Applied AI
Deep Learning Architecture and Performance
Physics Informed Neural Networks
Digital Science
Climate and Meteorology
Agriculture
Sports
Government
Privacy
ML Systems - Design and Development
Data Science - Applying Statistics and ML to solve prediction problems
AI for HPC and HPC for AI
Ethics and Bias in AI
Knowledge Graphs data representation, analysis and learning
Big Data Processing techniques, systems and challenges
Machine Learning Techniques
IA applied to genomic data
Green AI
Safety AI
Responsible AI
Large Language Models and Associated methods
Prompt Engineering
Time-series Analysis
Symbolic Reasoning
Learning Techniques and Methods

Events