Education and Training at LITCOMP-AI

Developing the Future of Physics with AI and HPC

At LITCOMP-IA, we recognize the importance of providing education and training due to our expertise in Artificial Intelligence (AI) and High-Performance Computing (HPC), making us a reliable source of knowledge in these areas. By focusing on the use of AI applied to physics, we aim to empower qualified professionals to use advanced AI techniques in research and development projects in the field of physics. Through workshops, seminars, and collaborative research projects, we promote the exchange of experiences, networking, and collaboration among professionals and researchers, while contributing to the efficient use of advanced computational resources, such as the sci.mind, driving research and innovation.

Clecio & Sci.mind

Training in Artificial Intelligence and High-Performance Computing (HPC)

  • We offer specialized training in AI and HPC, covering everything from fundamental concepts to advanced techniques.
  • These courses are taught by experts from LITCOMP-IA, who have extensive experience in research and development in related areas.
Marcio & Sci.mind

Scientific Training Programs

The CBPF's scientific training programs cover a wide range of disciplines designed for researchers and professionals looking to enhance their skills in Artificial Intelligence (AI) and High-Performance Computing (HPC). These programs provide a unique opportunity for participants to delve into advanced concepts of AI and HPC, applied across various scientific and technological fields.

We highlight courses such as:

  • PAP0017: Digital Image Processing, with Prof. Marcelo Portes.
  • PAP0047: Applications of Deep Learning to seismic data from hydrocarbon reservoirs, with Profs. Clécio De Bom and Ana Paula Muller (Petrobras).
  • PAP0046: Methods for Analysis of large volumes of data and Astroinformatics, with Prof. Clécio De Bom.

CBPF Schools

The course "Artificial Intelligence and applications in physics" is designed to introduce the concepts of deep learning, covering everything from the fundamentals of machine learning to advanced neural network architectures. The focus is on specific scientific and technological applications for Physics, Astrophysics, and Geophysics. It addresses topics ranging from machine learning fundamentals, backpropagation algorithms, analysis of unstructured data, to advanced architectures like Convolutional Neural Networks, Autoencoders, and Recurrent Networks. The course emphasizes practical applications, including interactive examples, and recommends proficiency in Python programming.

Workshops and Seminars

  • We host regular workshops and seminars on relevant topics in AI, HPC, and data science.
  • These events provide opportunities for hands-on learning, exchange of experiences, and networking with other professionals and researchers in the field.

Collaboration on Research Projects

  • Students collaborate on research projects at LITCOMP-IA, working alongside leading researchers in the field.
  • This provides valuable hands-on experience and contributions to advancing knowledge and innovation.

Access to Advanced Computing Resources

  • Participants have access to advanced computing resources, including the sci.mind, a supercomputer dedicated to AI and HPC projects.
  • They can conduct large-scale experiments and simulations to drive scientific research and development.

Ongoing Support and Guidance

  • We offer continuous support and personalized guidance to participants.
  • This includes addressing questions, providing feedback, and guidance to maximize educational and professional potential.