Research and Technological Development Projects at LITCOMP-AI

Advanced science for global challenges: innovative solutions through artificial intelligence.

Welcome to the section dedicated to the Research and Technological Development Projects of LITCOMP-AI. Here, we highlight our contribution to the advancement of science and technology, emphasizing the application of artificial intelligence across a wide range of disciplines. Our projects reflect the commitment to innovation in science and national and international R&D collaboration.

Geophys J Int, Volume 235, Issue 1, October 2023, Pages 119-134

Geophys J Int, Volume 235, Issue 1, October 2023, Pages 119-134, doi.org/10.1093/gji/ggad215

National and International R&D Collaboration Projects

  1. SOAR Spectroscopy of LIGO/Virgo O4 Transients Program: LITCOMP-AI collaborates with international institutions in identifying optical counterparts of gravitational waves. In this project, we employ advanced artificial intelligence techniques to analyze and correlate gravitational wave data with spectroscopic observations, broadening our understanding of the most extreme astrophysical events. This innovative approach enhances the precision of detections and advances our understanding of gravitational wave astrophysics further.
  2. S-PLUS (Southern Photometric Local Universe Survey): In an international collaboration, LITCOMP-AI is contributing to a detailed mapping of the southern sky. Using advanced photometric technology and artificial intelligence techniques, our role is to develop data processing algorithms to identify and characterize galaxies, star clusters, and other celestial objects in the local universe. This enhanced analysis of photometric data allows for a deeper understanding of the spatial distribution and physical properties of astronomical objects, providing crucial insights for studies in cosmology and astrophysics.
  3. DELVE (DECam Local Volume Exploration Survey): DELVE is a project using the Dark Energy Camera (DECam) to investigate satellite galaxies and stellar structures in the Local Universe. Through collaboration with LITCOMP-AI, the project benefits from the application of AI to identify and catalog celestial objects, enriching our understanding of dark matter and galaxy formation. This interinstitutional collaboration exemplifies how modern technology and data science are transforming astronomical research.
  4. FAST Transient Detection for the FINK Broker: This project focuses on the rapid detection of astronomical transient events, such as supernovae and neutron star mergers, using the FINK data broker. LITCOMP-AI contributes AI expertise to analyze data streams in real-time, identifying significant events for subsequent studies. This collaboration is crucial for transient astrophysics, enabling swift responses to cosmic events and facilitating significant scientific discoveries.
  5. Search for Electromagnetic Counterparts of Gravitational Wave Events: This project aims to identify electromagnetic counterparts of gravitational wave events, an essential step for multi-messenger cosmology. LITCOMP-AI's collaboration, applying AI to filter and analyze observation data, is key to correlating gravitational wave signals with electromagnetic phenomena, opening new windows into understanding the universe.

INCT Projects

  1. INCT IQNano: The INCT IQNano is at the forefront of developing innovative technological platforms, integrating nanotechnology, artificial intelligence, quantum cryptography, Raman spectroscopy, and microwave microscopy. The project aims to strengthen scientific infrastructure in Brazil, promoting cutting-edge research and technological solutions for challenges in various strategic areas. Read More...

Current Technological Projects

  1. Sci.Mind Project: Development of liquid-cooled multi-GPU HPC supercomputers for data analysis and AI training. This project aims to build cutting-edge computing systems capable of processing large volumes of data and running artificial intelligence algorithms with unparalleled efficiency and speed.
  2. Green Artificial Intelligence: Focus on energy efficiency solutions for high-performance computing systems. In this project, we seek to implement innovative energy optimization techniques, including the use of solar energy and advanced cooling systems, to make our data centers more sustainable and environmentally responsible.
  3. Collaboration with the Oil and Gas Industry: Our partnership with Petrobras aims to enhance efficiency in exploration and production in the oil and gas industry through the application of artificial intelligence. We develop customized solutions to optimize exploration, drilling, and oil production processes, aiming to increase operational efficiency and reduce costs. Furthermore, we focus on improving the exploration and characterization of reservoirs in the oil and gas industry, using advanced machine learning techniques based on physical principles. Our main goal is to increase productivity and reduce operational costs in the oil and gas industry.