Center of Excellence in Applied Research in Artificial Intelligence for Industry

• Grant number: 20/09770-7
• Support Opportunities: Research Grants - Research Centers in Engineering Program
• Start date: July 01, 2024
• End date: June 30, 2029
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Agreement: MCTI/MC
• Principal Investigator: Davidson Martins Moreira
• Grantee: Davidson Martins Moreira
• Host Institution: Faculdade de Tecnologia. Centro Universitário SENAI CIMATEC. Salvador , SP, Brazil
• Company: Centro Universitário SENAI CIMATEC. Faculdade de Tecnologia
• City: Salvador
• Partner institutions: UNIDADE NAO MAPEADA
• Pesquisadores principais: Antônio José da Silva Neto ; Claudio Fabiano Motta Toledo ; Fernando Luiz Pellegrini Pessoa ; Herman Augusto Lepikson ; Hernane Borges de Barros Pereira ; Marcelo Albano Moret Simões Gonçalves ; Solange Oliveira Rezende
• Associated researchers: Alexandre Cláudio Botazzo Delbem ; Alexandre Reeberg de Mello ; Allan Edgard Silva Freitas ; Aloísio Santos Nascimento Filho ; Anderson Vicente Borille ; Andre Gustavo Hochuli ; Antonio Carlos dos Santos Souza ; Bruna Aparecida Souza Machado ; Bruno Venanzio Trasatti ; Camila de Sousa Pereira Guizzo ; CARINE TONDO ALVES ; Carlos Fernando Carlim Pinto ; Carlos Solon Soares Guimarães Jr ; Cássio Vinicius Serafim Prazeres ; Daniel Gomes de Almeida Filho ; Danilo Hernane Spatti ; Diego Campos Knupp ; Diogo Nunes da Silva Ramos ; Doglas Negri ; Eduardo do Valle Simões ; Erick Giovani Sperandio Nascimento ; Ewerton Emmanuel da Silva Calixto ; Ewerton Lopes Silva de Oliveira ; Felipe Rebelo Lopes ; Fernando Antonio Aires Lins ; Flávio Gabriel Oliveira Barbosa ; Flavio Rocha de Avila ; Genaro Fernandes de Carvalho Costa ; Gilberto Reynoso Meza ; Gustavo Leão Mourão ; Herberth Birck Frohlich ; Ingrid Winkler ; Jeancarlo Pereira dos Anjos ; Jó Ueyama ; Jose Carlos Maldonado ; José Mário Araújo ; Josiane Dantas Viana Barbosa ; Júlio Cézar Estrella ; Kleber Magno Maciel Vieira ; Leonardo Fialho de Queiroz ; Lilian Lefol Nani Guarieiro ; Luís Fernando Arcaro ; Luís Gonzaga Trabasso ; Luzia Aparecida Tofaneli ; Márcio da Silva Arantes ; Marcos Ennes Barreto ; Mario Alves da Costa Junior ; Mauricio Onoda ; Milena Botelho Pereira Soares ; Neimar Marques Duarte ; Oberdan Rocha Pinheiro ; Pétala Gardênia da Silva Estrela Tuy ; Renan dos Santos Fagundes ; Renan Louis Jean Bonnard ; Renelson Ribeiro Sampaio ; Ricardo Araújo Rios ; Ricardo Marcondes Marcacini ; Roberto Luiz Souza Monteiro ; Roberto Lustosa de Andrade ; Rodolfo Lorbieski ; Rogerio Atem de Carvalho ; Roseli Aparecida Francelin Romero ; Tatiane Nogueira Rios ; Thiago Henrique Lemos Fonseca ; Thomas da Silva Paula ; Tulio Cesar Tavelin Marin ; Valéria Loureiro da Silva ; Valter de Senna ; Vanderlei Bonato ; Vitor Camargo Nardelli ; Walter Antonio Kapp ; Willian Henrique ; Wilson Pires Gavião Neto

Abstract

The objective of this proposal is to present the strategy for the creation of the Center of Excellence in Applied Research in Artificial Intelligence (AI) for Industry (CPA-IA), acknowledged at national and international level by the research, development and implementation of a multiuser open digital data science and AI platform for Industry 4.0, in order to leverage the modernization, competitiveness, and scientific and technological development of the national industry by accelerating and popularizing the application of AI to the various sectors of the industry, for micro, small, medium and large industries. This will allow, as a tool, the Brazilian Government to provide a digital environment for Industrial Artificial Intelligence (I-AI), providing the basis for the modernization of the production processes and the generation of new knowledge-intensive businesses. The development of this platform will be fostered by a network of researchers who will share their knowledge in integrated and interdisciplinary research projects. The integration of skills and experiences in AI of this network will enable a national plan for education and knowledge dissemination, with the training of qualified human resources. All of these activities will lead to the generation of innovative products and intellectual property, generating patents and registered softwares, promoting the transfer of technologies created for the public and private sectors, while seeking to create innovative opportunities to the sustainable and ethical development of the industry. (AU)