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Centro de Inteligência Artificial

Processo: 19/07665-4
Modalidade de apoio:Auxílio à Pesquisa - Programa eScience e Data Science - Centros de Pesquisa em Engenharia
Vigência: 01 de agosto de 2020 - 31 de julho de 2025
Área do conhecimento:Ciências Exatas e da Terra - Ciência da Computação
Convênio/Acordo: IBM Brasil
Pesquisador responsável:Fabio Gagliardi Cozman
Beneficiário:Fabio Gagliardi Cozman
Instituição Sede: Centro de Inovação da USP (INOVA). Universidade de São Paulo (USP). São Paulo , SP, Brasil
Empresas Sedes:Universidade de São Paulo (USP). Centro de Inovação da USP (INOVA)
IBM Brasil - Indústria, Máquinas e Serviços Ltda
Município: Rio de JaneiroSão Paulo
Pesquisadores principais:
Alexandre Cláudio Botazzo Delbem ; Antonio Mauro Saraiva ; Claudio Santos Pinhanez ; Cristina Godoy Bernardo de Oliveira ; Eduardo Aoun Tannuri ; Glauco Antonio Truzzi Arbix ; João Paulo Cândia Veiga ; José Eduardo Krieger ; Marcelo Finger ; Maria Lucia Santaella Braga ; Sandra Maria Aluísio ; Sarajane Marques Peres ; Thiago Alexandre Salgueiro Pardo ; Zhao Liang
Pesquisadores associados:Alessandra Alaniz Macedo ; Alexandre Dias Porto Chiavegatto Filho ; Alexandre Luis Moreli Rocha ; Alvaro Augusto Comin ; Ana Carolina Lorena ; Anarosa Alves Franco Brandão ; Anna Helena Reali Costa ; Ariani Di Felippo ; Arnaldo Candido Junior ; Bruno de Carvalho Albertini ; Bruno Souza Carmo ; Carlos Dias Maciel ; CARLOS EDUARDO TORRES FREIRE ; Carlos Henrique Costa Ribeiro ; Debora Pignatari Drucker ; Denis Deratani Mauá ; Diego Furtado Silva ; Diego Raphael Amancio ; Diogo Rosenthal Coutinho ; Dora Kaufman ; Ednaldo José Ferreira ; Edresson Casanova ; Edson Satoshi Gomi ; Eduardo de Senzi Zancul ; Eduardo Mario Mendiondo ; Esther Luna Colombini ; Evandro Eduardo Seron Ruiz ; Fátima de Lourdes dos Santos Nunes Marques ; Fernando Santos Osório ; Filippo Ghiglieno ; Geraldo Busatto Filho ; Guilherme Ary Plonski ; Hugo Tsugunobu Yoshida Yoshizaki ; Humberto Ribeiro da Rocha ; Ivandre Paraboni ; Jaime Simão Sichman ; João Luís Garcia Rosa ; João Paulo Papa ; José Paulo Molin ; José Teixeira Coelho Netto ; Juliano Souza Albuquerque Maranhão ; Júlio Cézar Estrella ; Julio Romano Meneghini ; Kazuo Nishimoto ; Kelly Rosa Braghetto ; Leliane Nunes de Barros ; Linamara Rizzo Battistella ; Lorena Guadalupe Barberia ; Luiz Otavio Murta Junior ; Marcel Simis ; Marcelo Cândido da Silva ; Marcelo Fantinato ; Maria Clara Fava ; Maria Lucia Santaella Braga ; Maria Sylvia Macchione Saes ; Mario Sergio Salerno ; Marlon Sproesser Mathias ; Miguel Arjona Ramírez ; Norton Trevisan Roman ; Osvaldo Novais de Oliveira Junior ; Oto Araújo Vale ; Patricia Angélica Alves Marques ; PAULO ANDRE LIMA DE CASTRO ; Paulo Hilário Nascimento Saldiva ; Paulo Mazzoncini de Azevedo Marques ; Reinaldo Augusto da Costa Bianchi ; Renata Wassermann ; Renato Tinós ; Ricardo Marcondes Marcacini ; Rodrigo Fernandes de Mello ; Rodrigo Yoiti Tsukahara ; Roseli Aparecida Francelin Romero ; Roseli de Deus Lopes ; Rubens Beçak ; Sandro Márcio da Silva Preto ; Sarajane Marques Peres ; Sidney Evaldo Leal ; Sílvia Helena Galvão de Miranda ; Solange Oliveira Rezende ; Tereza Cristina Giannini ; Thiago Alexandre Salgueiro Pardo ; Uiara Bandineli Montedo ; Vanessa Martins do Monte
Auxílios(s) vinculado(s):24/02783-7 - Aprendizado em Redes para Classificação de Alto Nível de Dados Sequenciais, AV.BR
Bolsa(s) vinculada(s):23/12775-9 - Suporte tecnológico ao Centro de Inteligência Artificial, BP.TT
23/13722-6 - Suporte a Pesquisa em Aprendizado Enriquecido por Conhecimento no Centro de Inteligência Artificial, BP.TT
23/01892-4 - O escopo da negação no português: taxonomia, sistematização e implementação, BP.DR
+ mais bolsas vinculadas 23/07299-3 - Desenvolvimento e implementação de portais para apoio a pesquisas dos projetos POeTiSA, TaRSila e Carolina, BP.TT
22/16374-6 - Modelos Neurais Pré-treinados para detecção de condições respiratórias por análise de áudio, BP.PD
22/15355-8 - Infraestrutura técnica para atividades de transferência de tecnologia no centro de inteligência artificial, BP.TT
23/00730-0 - Coordenação, criação, aquisição e gerenciamento de banco de dados de associações e grupos indígenas no Brasil, BP.TT
22/12747-2 - Regulação e financiamento da inteligência artificial no Brasil, BP.TT
22/06804-3 - Desenvolvimento e avaliação de um modelo de simulação para a estimação da produtividade de laranjas doces (Citrus sinensis L.), BP.DR
22/06373-2 - Centro de Inteligência Artificial, BP.TT
21/03544-8 - Gestão algorítmica do trabalho: um estudo das percepções de motoristas e entregadores sobre o trabalho em plataformas, BP.MS
21/15125-0 - Um modelo de metadados para interoperabilidade de bancos de dados de agrícolas, BP.DR
21/06783-3 - Veritas: base de dados de textos jurídicos brasileiros para processamento de linguagem natural, BP.IC
21/03117-2 - Verificação formal de redes neurais via lógica infinitamente-valorada de Lukasiewicz, BP.PD
20/02679-4 - NLPCode: aplicação de técnicas de processamento de linguagem natural para a automação da refatoração de código, BP.MS
21/02464-0 - Modelagem probabilística para tomada de decisão e predição em recursos hídricos: uma aplicação em segurança alimentar, BP.TT
20/16746-5 - Physics-informed machine learning aplicado para previsões de condições metoceânicas, BP.DR
20/16661-0 - Segmentação e alinhamento de datasets para o processamento de linguagem natural, BP.TT
20/15129-2 - Classificação de sinal EEG entre focal e não-focal por meio de aprendizado profundo, BP.DR
20/07892-8 - Planejamento de trajetória de drones para reconstrução 3D, BP.IC - menos bolsas vinculadas
Assunto(s):Representação de conhecimento  Aprendizado computacional  Processamento de linguagem natural  Inteligência artificial 
Palavra(s)-Chave do Pesquisador:Aplicações de Inteligência Artificial | Aprendizado de Máquina | Inteligência Artificial | Planejamento Automático | Processamento de Linguagem Natural | representação de conhecimento | Inteligência Artificial

Resumo

Esta proposta descreve um Centro de Pesquisa de Engenharia em Inteligência Artificial (IA) empenhado em conduzir pesquisas em tópicos centrais de IA e em aplicar técnicas de IA em áreas de aplicação selecionadas --- a saber, indústria de óleo e gás, agronegócios e saúde. O Centro também dará suporte a estudos sobre o impacto social e econômico da IA e conduzirá atividades de transferência de tecnologia e difusão do conhecimento. O Centro será construído com a convicção de que os próximos dez anos trarão avanços sem precedentes em IA, os quais dependerão da colaboração tanto entre áreas centrais da IA como destas áreas com as aplicações. O "Center for Artificial Intelligence" consistirá de dois grupos interligados de pesquisadores, ambos distribuídos na instituição anfitriã e em instituições associadas. Um grupo de pesquisadores, com significativa projeção internacional na comunidade de IA, cobrirá tópicos centrais de IA, de representação de conhecimento a aprendizado de máquina, com ênfase em processamento de texto e linguagem natural, particularmente em Português. Tendências da pesquisa internacional corrente sugerem que a próxima década testemunhará uma interação crescente entre representação de conhecimento, tomada de decisão e aprendizado de máquina; o "Center for Artificial Intelligence" focará sua atenção na combinação destas áreas da IA, já que elas não são tão intimamente conectadas quanto deveriam ser --- o Centro se posicionará como um participante fundamental na colaboração entre os principais tópicos da IA. Um segundo grupo de pesquisadores do Centro focará em três áreas de aplicação onde existe significativa experiência na instituição anfitriã: óleo e gás, agronegócio, e saúde. A conexão entre pesquisa em tópicos centrais da IA e áreas de aplicação ocorrerá em dupla direção: pesquisa em IA básica abordará problemas de grande escala nas áreas de aplicação selecionadas, e será direcionada pelos desafios nestas áreas de aplicação. Um pequeno grupo de pesquisadores da área de humanas está incluído no "Center for Artificial Intelligence" para conduzir pesquisa sobre o impacto social da IA e para identificar caminhos que garantam o uso da IA para o bem. O Coordenador de Educação e Difusão do Conhecimento organizará produção de vídeos contendo resultados de pesquisa e trabalhará através de feiras e escolas para educar o público em sentido amplo. O Coordenador de Transferência de Tecnologia trabalhará com órgãos bem estabelecidos na instituição anfitriã para fomentar iniciativas que transferirão resultados para as entidades financiadoras e para esforços de empreendedorismo. (AU)

Matéria(s) publicada(s) na Revista Pesquisa FAPESP sobre o auxílio::
Desafíos a la hora de regular el uso de la inteligencia artificial 
Insuficiencia alimentaria 
Una mirada ampliada desde la ciencia para acabar con el hambre en Brasil 
Os desafios para regulamentar o uso da inteligência artificial 
ChatGPT inaugura una nueva era en la interacción entre seres humanos y computadoras 
Ciência propõe olhar abrangente para sanar a fome no Brasil 
ChatGPT inaugura uma nova era na interação entre seres humanos e computadores 
Inteligencia artificial aplicada al corazón 
Inteligência artificial a favor do coração 
Matéria(s) publicada(s) no Pesquisa para Inovação FAPESP sobre o auxílio:
1º Simpósio de Inteligência Artificial: Aplicando IA em Ciências Biomédicas 
A Inteligência Artificial no Brasil e no Reino Unido 
Centro de Inteligência Artificial apoiado por FAPESP, IBM e USP inicia atividades 
Matéria(s) publicada(s) na Agência FAPESP sobre o auxílio:
Matéria(s) publicada(s) em Outras Mídias (0 total):
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Publicações científicas (141)
(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)
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TEIXEIRA BRASIL, JOSE ARTUR; DE MACEDO, MARINA BATALINI; PEREIRA DE OLIVEIRA, THALITA RAQUEL; GHIGLIENO, FILIPPO GIOVANNI; BORGES DE SOUZA, VLADIMIR CARAMORI; SILVA, GABRIEL MARINHO E.; GOMES JUNIOR, MARCUS NOBREGA; ARGUELLO DE SOUZA, FELIPE AUGUSTO; MENDIONDO, EDUARDO MARIO. Can we scale Digital Twins of Nature-based Solutions for stormwater and transboundary water security projects?. JOURNAL OF HYDROINFORMATICS, v. N/A, p. 16-pg., . (19/07665-4, 14/50848-9)
IWASHITA, ADRIANA SAYURI; RODRIGUES, DOUGLAS; GASTALDELLO, DANILO SINKITI; DE SOUZA, ANDRE NUNES; PAPA, JOAO PAULO. An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. COMPUTERS & ELECTRICAL ENGINEERING, v. 95, . (14/12236-1, 19/07665-4, 18/21934-5, 17/02286-0, 13/07375-0)
MARCELO FINGER. Inteligência Artificial e os rumos do processamento do português brasileiro. Estudos avançados, v. 35, n. 101, p. 51-72, . (20/06443-5, 19/07665-4)
RODRIGUES MATTOS, JOAO PEDRO; MARCACINI, RICARDO M.; BAILEY, J; MIETTINEN, P; KOH, YS; TAO, D; WU, X. Semi-Supervised Graph Attention Networks for Event Representation Learning. 2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021), v. N/A, p. 6-pg., . (19/25010-5, 19/07665-4)
MACHADO, MATEUS TARCINALLI; SALGUEIRO PARDO, THIAGO ALEXANDRE; SERON RUIZ, EVANDRO EDUARDO; DI FELIPPO, ARIANI; VARGAS, FRANCIELLE; PINHEIRO, V; GAMALLO, P; AMARO, R; SCARTON, C; BATISTA, F; et al. Implicit Opinion Aspect Clues in Portuguese Texts: Analysis and Categorization. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022, v. 13208, p. 11-pg., . (19/07665-4)
ALVES DE LIMA, VITOR MESAQUE; DE ARAUJO, ADAILTON FERREIRA; MARCACINI, RICARDO MARCONDES. Temporal dynamics of requirements engineering from mobile app reviews. PEERJ COMPUTER SCIENCE, v. 7, p. 26-pg., . (19/25010-5, 19/07665-4)
PRETO, SANDRO; FINGER, MARCELO. Efficient representation of piecewise linear functions into Lukasiewicz logic modulo satisfiability. MATHEMATICAL STRUCTURES IN COMPUTER SCIENCE, v. N/A, p. 26-pg., . (21/03117-2, 14/12236-1, 19/07665-4, 15/21880-4)
MACHADO, MATEUS TARCINALLI; PARDO, THIAGO ALEXANDRE SALGUEIRO; MARIANI, J; CALZOLARI, N; BECHET, F; BLACHE, P; CHOUKRI, K; CIERI, C; DECLERCK, T; GOGGI, S; et al. Evaluating Methods for Extraction of Aspect Terms in Opinion Texts in Portuguese - the Challenges of Implicit Aspects. LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, v. N/A, p. 10-pg., . (19/07665-4)
CASANOVA, EDRESSON; CANDIDO JR, ARNALDO; FERNANDES JR, RICARDO CORSO; FINGER, MARCELO; STEFANEL GRIS, LUCAS RAFAEL; PONTI, MOACIR A.; PINTO DA SILVA, DANIEL PEIXOTO; INT SPEECH COMMUN ASSOC. Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021. INTERSPEECH 2021, v. N/A, p. 5-pg., . (20/06443-5, 14/12236-1, 19/07665-4)
HERNANDES JUNIOR, PAULO R. GALEGO; SCHERER, RAFAL; JANUARIO, LUCAS B.; RODRIGUES, DOUGLAS; PAPA, JOAO P.; COSTA, KELTON A. P.; IEEE. From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. 2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), v. N/A, p. 4-pg., . (21/05516-1, 13/07375-0, 14/12236-1, 19/07665-4)
TINOS, RENATO; PRZEWOZNICZEK, MICHAL W.; WHITLEY, DARRELL; FIELDSEND, JE. Iterated Local Search with Perturbation based on Variables Interaction for Pseudo-Boolean Optimization. PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'22), v. N/A, p. 9-pg., . (19/07665-4)
YAN, JIANGLONG; ANGHINONI, LEANDRO; ZHU, YU-TAO; LIU, WEIGUANG; LI, GEN; ZHENG, QIUSHENG; ZHAO, LIANG. Characterizing data patterns with core-periphery network modeling. JOURNAL OF COMPUTATIONAL SCIENCE, v. 66, p. 13-pg., . (19/07665-4)
SANTOS, DANIEL A.; BARANAUSKAS, JOSE A.; TINOS, RENATO; IEEE. Use of Fitness Sharing in the Local Rule-Based Explanations Method. 2021 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI), v. N/A, p. 6-pg., . (13/07375-0, 19/07665-4)
SOUZA, MARTO; WASSERMANN, RENATA; XAVIER-JUNIOR, JC; RIOS, RA. Hyperintensional Models and Belief Change. INTELLIGENT SYSTEMS, PT I, v. 13653, p. 15-pg., . (19/07665-4)
SANTOS, DANIEL F. S.; PAPA, JOAO P.. TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection. IEEE Geoscience and Remote Sensing Letters, v. 20, p. 5-pg., . (13/07375-0, 19/07665-4)
DESUO, N. LUIZ; FOGLIATTO, MATHEUS S. S.; CAETANO, HENRIQUE O.; PEREIRA, J. BENVINDO R.; LONDON J, J. JOAO B. A.; MACIEL, CARLOS D.. A Multilayer System and Optimization Framework for Team Dispatch Towards Service Recovery. IEEE TRANSACTIONS ON RELIABILITY, v. N/A, p. 14-pg., . (19/07665-4, 21/12220-1, 14/50851-0, 18/19150-6)
BURIS, LUIZ H.; PEDRONETTE, DANIEL C. G.; PAPA, JOAO P.; ALMEIDA, JURANDY; CARNEIRO, GUSTAVO; FARIA, FABIO A.; IEEE. MIXUP-BASED DEEP METRIC LEARNING APPROACHES FOR INCOMPLETE SUPERVISION. 2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, v. N/A, p. 5-pg., . (18/23908-1, 14/12236-1, 19/07665-4, 21/01870-5)
MARCIO LIMA INÁCIO; MARCO ANTONIO SOBREVILLA CABEZUDO; RENATA RAMISCH; ARIANI DI FELIPPO; THIAGO ALEXANDRE SALGUEIRO PARDO. O corpus AMR-PT e a anotação semântica de sentenças desafiadoras de textos jornalísticos e opinativos. DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada, v. 39, n. 3, . (19/07665-4)
PRETO, SANDRO; FINGER, MARCELO. An Efficient Algorithm for Representing Piecewise Linear Functions into Logic. ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, v. 351, p. 20-pg., . (14/12236-1, 19/07665-4)
LIMA PAIVA, FRANCISCO CAIO; FELIZARDO, LEONARDO KANASHIRO; DA COSTA BIANCHI, REINALDO AUGUSTO; REALI COSTA, ANNA HELENA; ACM. Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach. ICAIF 2021: THE SECOND ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, v. N/A, p. 9-pg., . (19/07665-4)
LIGABUE, PEDRO DE MORAES; FRANCO BRANDAO, ANAROSA ALVES; PERES, SARAJANE MARQUES; COZMAN, FABIO GAGLIARDI; PIROZELLI, PAULO; LI, P; YU, K; CHAWLA, N; FELDMAN, R; LI, Q; et al. BlabKG: a Knowledge Graph for the Blue Amazon. 2022 IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE GRAPH (ICKG), v. N/A, p. 8-pg., . (19/07665-4)
PASSOS, LEANDRO A.; JODAS, DANILO S.; RIBEIRO, LUIZ C. F.; MOREIRA, THIERRY; PAPA, JOAO P.; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; KANE, B; et al. (OPF)-P-2: Oversampling via Optimum-Path Forest for Breast Cancer Detection. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., . (13/07375-0, 14/12236-1, 19/18287-0, 19/07665-4)
VALEJO, ALAN DEMETRIUS BARIA; DE OLIVEIRA DOS SANTOS, WELLINGTON; NALDI, MURILO COELHO; ZHAO, LIANG. A review and comparative analysis of coarsening algorithms on bipartite networks. European Physical Journal-Special Topics, v. 230, n. 14-15, p. 2801-2811, . (19/09817-6, 13/07375-0, 19/07665-4, 15/50122-0, 19/14429-5)
DOS SANTOS, WESLEY RAMOS; DE OLIVEIRA, RAFAEL LAGE; PARABONI, IVANDRE. BMI trajectory and inflammatory effects on metabolic syndrome in adolescents. Language Resources and Evaluation, v. N/A, p. 28-pg., . (19/07665-4, 21/08213-0)
SALVATORE, FELIPE DE SOUZA; FINGER, MARCELO; HIRATA JR, ROBERTO; PATRIOTA, ALEXANDRE G.. A resampling-based method to evaluate NLI models. NATURAL LANGUAGE ENGINEERING, v. N/A, p. 28-pg., . (15/24485-9, 14/12236-1, 19/07665-4, 15/21880-4, 18/21934-5, 15/22308-2)
FAVA, MARIA CLARA; DA SILVA, ROBERTO FRAY; GESUALDO, GABRIELA CHIQUITO; BENSO, MARCOS ROBERTO; MENDIONDO, EDUARDO MARIO; SARAIVA, ANTONIO MAURO; BOTAZZO DELBEM, ALEXANDRE CLAUDIO; PADOVANI, CARLOS ROBERTO; IEEE. Automatic Spatial Rainfall Estimation on Limited Coverage Areas. 2021 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (IEEE METROAGRIFOR 2021), v. N/A, p. 6-pg., . (14/50848-9, 19/07665-4, 20/03029-3)
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