Spotlight on PlantNet

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.

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Seminar by Patrick Valduriez on “Big Data Technologies”, Inria Paris, 23 November 2023

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.



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Talk on “Life Science Workflow Services (LifeSWS): motivations and architecture” by Patrick Valduriez, The Data Systems Seminar Series, University of Waterloo, 5 sept 2023

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.

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Workshop “Émeritat de Patrick Valduriez”, 5 June 2023

Patrick Valduriez a dirigé l’équipe Zenith depuis sa création en 2011. Il est directeur de recherche émérite depuis le 1er avril 2023.

À cette occasion, l’équipe organise un worskhop afin de parler des sujets de prédilection de Patrick, qui sont aussi ceux de ses collègues et de l’équipe. Nous y aborderons donc les sujets et travaux de recherche qui nous concernent et ferons ensemble un exercice de prospective sur nos domaines.



  • Date : le 5 juin 2023 (09h30 – 17h00).
  • Lieu : Amphithéâtre Jean-Jacques Moreau, campus St Priest, Montpellier.

Un peu de lecture sur le débat de la place de l’informatique dans la société, à l’heure où l’IA met ces questions en lumière. Et un portrait de Patrick par Inria.

Programme : 

  • 09h30 Accueil-café
  • 10h00-12h00
    • Kick-off by Jean-Frédéric Gerbeau – Inria Deputy CEO for Science.
    • Sihem Amer-Yahia : “On Algorithmic Upskilling and Why We Need More Patricks”
    • Dennis Shasha : “Travels with Patrick — past, present, and future”
    • Ioana Manolescu : “Querying Any Data: One or Many Data Models, in Any Architecture”
    • Fabio Porto : “Building an Int’l Collaboration around Scientific Data Management”
    • Eric Simon : “My travel diary with Patrick”
    • Esther Pacitti : “Expérience dans les équipes avec Patrick”
  • 12h00-14h00 Déjeuner
  • 14h00-16h00
    • Quelques messages vidéos (Serge Abiteboul, François Bancilhon, Carlyna Blessing, Maureen Clerc, Mohand-Saïd Hacid, Boyan Kolev, Marta Mattoso, Eduardo Ogasawara, Tamer Özsu)
    • Michel Chein : “Aux environs du losange de Patrick”
    • Mokrane Bouzeghoub : “Les big data au coeur de l’interdisciplinarité”
    • Reza Akbarinia : “Large-Scale Data Analytics in Zenith”
    • Christophe Botella : “Towards Integrating massive heterogeneous biodiversity observations to understand species spatial dynamics”
    • Luc Bouganim
  • 16h00-17h00 Visite du CINES (calculateur Adastra)

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Talk on “Data Science and Innovation” by Patrick Valduriez, COPPE/UFRJ, Rio de Janeiro, 5 May 2023

My next talk on “Data Science and Innovation” at COPPE/UFRJ, Rio de Janeiro, Thursday 5 May

With online transmission on YT PESC channel:

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Seminar by Patrick Valduriez “Data Science and Innovation”, CEFET, Rio de Janeiro, 3 May 2023.

In the seminar series Seminários da Escola de Informática e Computação (SEIC) at CEFET, Rio de Janeiro, Patrick Valduriez discusses “Data science and innovation”. See the seminar announcement.

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Inria-Brasil Workshop, 10-14 April 2023

The first in-person workshop of the Inria-Brasil international lab. was held in São Paulo 10-11 April and Petropolis (Rio de Janeiro) 12-14 April. With a great scientific program with talks on HPC, AI, scientific computing and data science, as well as panels on bilateral collaboration and innovation. And about 100 participants in total. On  12 April, Patrick Valduriez gave the keynote “Data Science and Innovation”.

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Interview d’Alexis Joly sur France Inter – 12 avril 2023

Dans le cadre de la journée spéciale « intelligence artificielle » de France Inter du 12 avril 2023, Alexis Joly a été invité à présenter le projet Pl@ntNet. Dans cette interview, a ainsi répondu aux questions de Dorothée Barba, l’animatrice de l’émission « Carnet de Campagne, le rendez-vous des solutions d’avenir » diffusée tous les jours à 12:30.

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L’application Pl@ntNet au service de l’i-écologie – The Conversation – 19 octobre 2022

Comment l’application Pl@ntNet est au service de l’i-écologie.
Lire ici  l’excellent article du 19 octobre 2022 du site d’information The Conversation.

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Zenith HPDaSc seminar Monday 7 November 2022

Zenith  HPDaSc seminar, Monday 7 November 2022, 10h15-11h45
BAT5-01.124, Campus Saint Priest

Dbfication or Dbfiction in Deep Learning Activities
Marta Mattoso
COPPE/UFRJ, Rio de Janeiro, Brazil

Database management techniques have a lot to contribute to generating and selecting a deep learning model. In this talk, we present current initiatives of the database community towards using data management techniques to improve deep learning activities, to discuss pros and cons. Then, we will focus on provenance-based user steering to evaluate different neural network execution configurations. Provenance data adds semantics to the metrics of each configuration, which can help humans in evaluating and reproducing the models proposed by automatic tools.

An introduction to physics-informed neural networks
Alvaro Coutinho
COPPE/UFRJ, Rio de Janeiro, Brazil

In this talk we will give a brief introduction to Physics-Informed Neural Networks (PINN), that are neural networks that encode model equations, like Partial Differential Equations (PDE), as a component of the neural network itself. PINNs are nowadays used to solve PDEs, fractional equations, integral-differential equations, and stochastic problems. PINN fits observed data while reducing a PDE residual. We will discuss the basic math and algorithmic steps and show some current advanced applications.

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