Watch the interview (34 minutes) at Le Monde Informatique.
Permanent link to this article: https://team.inria.fr/zenith/patrick-valduriez-will-ai-replace-sql/
Pl@ntNet, with The Brazilian Team led by ESALQ (University of Sao Paulo) won the 3rd place at Xprize Rainforest, a $10 million competition among more than 300 teams related to novel technologies for the monitoring of tropical biodiversity. The Brazilian Team gathers biologists, ecologists, economists, engineers, computer scientists and mathematicians from Brazil, Colombia, France, Germany, Spain, Portugal, UK, and USA.
Permanent link to this article: https://team.inria.fr/zenith/plnnet-winner-of-xprize-rainforest/
The book published by Springer, Event Detection in Time Series, authored by Eduardo Ogasawara (CEFET-RJ, Brazil), Rebecca Salles (Zenith), Fabio Porto (LNCC, Brazil) and Esther Pacitti (Zenith), reflects our productive collaboration with Brazil in the context of the HPDaSc associated team.
Permanent link to this article: https://team.inria.fr/zenith/a-new-book-on-time-series/
Program
9:00-9:15 Workshop overview: Fabio Porto (LNCC) and Patrick Valduriez (Inria)
9:15-09:45 Patrick Valduriez: The Iroko Project
09:45-10:15 Lucas Tavares, Jano Lima (CEFET-RJ): Autoenconder for Concept Drift & Change Point Detection
10:15-10:45: Rocio Zorrilla (LNCC): Marine CSEM Inversion with Synthetic Data and Convolutional Neural Networks
10:45-11:15 Break
11:15-11:45 Fabio Porto: The Gypscie System – Current Status and Challenges
11:45-12:15 Liliane Kunstmann (COPPE-UFF): Container provenance in high-performance computing: a case with scientific machine learning
12:15-12:45 Wesley Ferreira, Daniel de Oliveira (UFF): AkôFlow: um Middleware para Execução de Workflows Científicos em Múltiplos Ambientes Conteinerizados
12:45:13:00 Eduardo Ogasawara (CEFET-RJ) , Esther Pacitti (U. Montpellier & Inria): The Dinizia Project
Permanent link to this article: https://team.inria.fr/zenith/16-august-2024-9th-workshop-of-the-hpdasc-project-cefet-rj-rio-de-janeiro-brazil/
Permanent link to this article: https://team.inria.fr/zenith/patrick-valduriez-keynote-speaker-at-ssdbm-2024/
Permanent link to this article: https://team.inria.fr/zenith/hpdasc-workshop-on-data-driven-science-31-may-2024-campus-saint-priest-bat-5-salle-1-124/
The talk discusses the impact of data science on innovation. Check the news from Instituto de Matemática Pura e Aplicada (IMPA) about the talk.
Permanent link to this article: https://team.inria.fr/zenith/%ef%bf%bcseminar-by-patrick-valduriez-on-ciencia-de-dados-e-inovacao-instituto-de-matematica-pura-e-aplicada-impa-rio-de-janeiro-9-may-2024/
Spotlight on our PlantNet application with this Youtube video (in French sorry), with our botany and data science experts Alexis Joly and Pierre Bonnet from Zenith.
Permanent link to this article: https://team.inria.fr/zenith/spotlight-on-plantnet%ef%bf%bc/
Inria seminar, Salle Jacques-Louis Lions, Centre Inria Paris, 23 november 2023, 10h
Big Data Technologies: spotlight on NoSQL, NewSQL and Spark
Patrick Valduriez
The ability to produce high-value information and knowledge from big data makes it critical for many applications such as decision support, forecasting, business intelligence, research, and (data-intensive) science. However, processing and analyzing massive, complex data is hard, if not impossible, using traditional data management tools, e.g., SQL databases. What we need are technologies that combine new data management techniques (to deal with new kinds of data) with large-scale parallelism in cluster or cloud environments (to provide scalability). In this talk, I will give a spotlight on recent developments in NoSQL, NewSQL and Spark technologies.
Permanent link to this article: https://team.inria.fr/zenith/seminar-by-patrick-valduriez-on-big-data-technologies-inria-paris-23-november-2023%ef%bf%bc/
See The Data Systems Seminar Series, University of Waterloo, Canada, Tuesday 5 september 2023.
Life Science Workflow Services (LifeSWS): motivations and architecture
Patrick Valduriez
Inria, University of Montpellier, CNRS, LIRMM, France
Data driven science requires manipulating large datasets coming from various data sources through complex workflows based on a variety of models and languages. With the increasing number of big data sources and models developed by different groups, it is hard to relate models and data and use them in unanticipated ways for specific data analysis. Current solutions are typically ad-hoc, specialized for particular data, models and workflow systems. In this talk, we focus on data driven life science and propose an open service-based architecture, Life Science Workflow Services (LifeSWS), which provides data analysis work- flow services for life sciences. We illustrate our motivations and rationale for the architecture with real use cases from life science.
Permanent link to this article: https://team.inria.fr/zenith/talk-on-life-science-workflow-services-lifesws-motivations-and-architecture-by-patrick-valduriez-the-data-systems-seminar-series-university-of-waterloo-canada-5-sept-2023/
