2018 | IEEE World Congress on Computational Intelligence
This event is an IEEE N3XT® Affiliate Event, and will include a session that focuses on the role of innovation and entrepreneurship in science and engineering as it relates to the topic of the conference on the whole.
The bi-annual IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. The IEEE WCCI 2018 will host three conferences: The 2018 International Joint Conference on Neural Networks (IJCNN 2018), the 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), and the 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018) under one roof. It encourages cross-fertilization of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence.
IEEE WCCI 2018 will be held at the Windsor Convention Centre, Rio de Janeiro, Brazil. Rio de Janeiro is one of the most attractive cities in South America, with the largest urban forest in the world, beautiful bays, lagoons and 90 kms of beaches and mountains. Known as one of the most beautiful cities in the World, Rio de Janeiro is the first city to receive the certificate of World Heritage for its Cultural Landscape. This unprecedented title was recently conferred by the United Nations Educational, Cultural and Scientific Organization (UNESCO).
Rio de Janeiro is easily accessible from all over the world, with direct flights from major cities in North America, Europe, Africa and Middle East. It is also a one stop away from Asia and Australia. The venue, The Windsor Barra Complex, features a brand new Convention Center and three different categories hotels, in the fastest growing region in Rio de Janeiro, with walking distance from a great choice of restaurants and shopping centers.
About the IEEE N3XT® Session
This event is an IEEE N3XT® Affiliate Event, and will include a session that focuses on the role of innovation and entrepreneurship in science and engineering as it relates to the topic of the conference on the whole.
The IEEE N3XT® Entrepreneurship panel at IEEE WCCI 2018 will help foster growth in start ups and small businesses using machine learning and computational intelligence as a part of their offering. While focused on broad geographic growth, the panel is specifically interested in helping companies in South America at this flagship conference of the IEEE Computational Intelligence Society. Given the rapid growth of this sector, this IEEE N3XT® panel will facilitate discussion on the difficulties of raising capital, providing solutions to the market, and help take the mystery out of making successful inroads to the machine learning market.
IEEE N3XT® Panel Session Speakers
Alexandre Bess | CEO, LegalBot
Nima Kaz | Co-Founder, JUPTER and Executive Director, Founder Institute Brazil
Roberto Lotufo | CTO, NeuralMind and Professor, School of Electrical & Computer Engineering University Campinas
Roberto de Marca | 2014 IEEE President
Flavio Pereira | CEO, Nuveo AI
Isa Oliveira | Research And Development Manager and Data Scientist, Optimum Soluções Estratégicas S/A
The IEEE N3XT® Affiliate Event Series is focused on bringing skills and inspiration to the next generation of entrepreneurs. To learn more about our Affiliate Event Program and how to get involved, click here.
Additional IEEE Entrepreneurship Sessions of Interest
Gary B. Fogel, an IEEE N3XT® Star judge, will be giving a lecture at the event. At its core, the field of biomedicine focuses on an understanding of molecular processes, their possible physiological pathologies, and resulting medical treatment. This includes diagnostics that can classify individuals and their risk of disease based on molecular information. Or, for instance, determination of the appropriate treatment for individuals that are already afflicted with a disease. Given an overwhelming abundance of information at the molecular level, there exists a growing opportunity to use computational intelligence to improve our basic understanding of disease processes. In this public lecture Dr. Fogel will provide examples of how these approaches can be used to help inform and lead to new medical opportunities. Dr. Fogel will also review some of the hurdles that remain for the use of these tools in clinical settings.