Training and Education at LAB-IA
Developing the Future of Physics with AI and HPC
At LAB-IA, we recognize the importance of offering education and training given our expertise in Artificial Intelligence (AI) and High Performance Computing (HPC), which makes us a trusted source of knowledge in these fields. 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 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 computing resources, such as sci.mind, driving research and innovation.
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.
- Taught by LAB-IA specialists with extensive research and development experience in related fields.
Scientific Training Programs
CBPF's scientific training programs cover a wide range of disciplines designed for researchers and professionals seeking to enhance their skills in Artificial Intelligence (AI) and High Performance Computing (HPC). These programs offer a unique opportunity for participants to delve into advanced AI and HPC concepts, applied across various scientific and technological fields.
Featured courses include:
Digital Image Processing
with Prof. Marcelo Portes
Deep Learning Applications to Seismic Data from Hydrocarbon Reservoirs
with Profs. Clécio De Bom and Ana Paula Muller (Petrobras)
Methods for Large-Scale Data Analysis and Astroinformatics
with Prof. Clécio De Bom
CBPF
Schools
Prerequisite
Python programming
The course"Artificial Intelligence and Applications in Physics" was designed to introduce deep learning concepts, ranging from machine learning fundamentals to advanced neural network architectures.
The focus is on scientific and technological applications specific toPhysics, Astrophysics, and Geophysics.
It covers topics from machine learning fundamentals, backpropagation algorithms, and unstructured data analysis, to advanced architectures such asConvolutional Neural Networks, Autoencoders, and Recurrent Networks.
The course emphasizespractical applications, including interactive examples, and proficiency in Python programming is recommended.
Workshops and Seminars
We hold regular workshops and seminars on relevant topics in AI, HPC, and data science.
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 LAB-IA research projects, working alongside leading researchers in the field.
Valuable hands-on experience and contributions to the advancement of knowledge and innovation.
Access to Advanced Computing Resources
Access to advanced computing resources, including sci.mind, a supercomputer dedicated to AI and HPC projects.
Running large-scale experiments and simulations to drive research and scientific development.
Continuous Support and Guidance
We offer continuous support and personalized guidance to participants.
Answering questions, providing feedback, and offering guidance to maximize educational and professional potential.