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38 research papers from institutions of the DATAIA Institute's perimeter, have been accepted to the NeurIPS Conference.
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NeurIPS (Neural Information Processing Systems), widely considered the world’s largest AI and machine learning research conference, has published the
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9454, papiers soumis
1900, papiers acceptés
38, font partie de l'écosystème DATAIA
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IFPEN and Inria's team TAU join forces to apply machine learning to computational fluid dynamics.
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The ML4CFD  project aims to enhance the performance of CFD simulations using  machine learning. Employing ML models in CFD simulations with complex, ML4CFD in detail
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The DATAIA seminars continue: follow them live!
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On 12 December 2019, the National Research Agency published the results of the call for projects « AI Chairs », launched last April.
Among the 40 selected, several researchers are part of the DATAIA Institute's ecosystem.
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The call for « Research and Teaching chairs in artificial intelligence » aims precisely to offer French and foreign researchers, with the support of h
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40, National AI Chairs selected
14, AI Chairs from Paris-Saclay
4, years of funding
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The BioNLP Open Shared Tasks 2019 workshop presented 7 scientific tasks, including the Bacteria Biotope task, and the participants' results published by the Association for Computational Linguistics.
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The event, The BioNLP Open Shared Tasks 2019 workshop co-organized by INRA-MaIAGE and DBCLS (Tokyo) brought together in Hong Kong on November 4 the organizers an
The Bacteria Biotope task, The Bacteria Biotope task in its 4th edition, in addition to the names of microorganisms, habitats and geographical locations, includes phenotypes (e.
Robert Bossy présente la tâche Bacteria Biotope au BioNLP-OST 2019
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10, teams participated in the challenge
31, submissions
18, INRA experts involved
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The « PEPER » project: an architecture for collecting data on energy consumption per second at Télécom SudParis.
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Selected as part of the DATAIA Institute's « Calls for Research Projects » in 2018, the « PEPER » project aims to use neural networks for prediction a
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The « PEPER » project, The world of electrical energy is facing significant structural changes: electricity use is constantly increasing and climate challenges require an in
<p><img alt="PEPER team" data-align="left" data-entity-type="file" data-entity-uuid="c0eb3c5d-db04-462b-89
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[INRA] The INRA MaIAGE unit is launching two &quot;data challenges&quot; in text mining and biology
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Challenges in extracting information from scientific texts to improve access to and use of scientific information.
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On 15 April 2019, the MaIAGE unit launched "Bacteria Biotope" (BB'19) and SeeDev'19 (Event extraction of genetic and molecular mechanisms involved in
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Produced with Campus Channel, ENSTA ParisTech offers a video to answer this question by providing its expertise.
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Today, Artificial Intelligence is everywhere and its progress concerns all sectors: transport, energy, complex systems, defence... It is therefore nec
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Results of the DATAIA Institute's call for 2019 research projects
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Once again this year, many quality projects have responded to the 2019 call for research projects. The DATAIA Program Committee is pleased to announce the topics selected.
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Last March, 12 projects were submitted to the DATAIA Institute for the 2019 call for research projects. To be eligible, proposals had to be based on t
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StreamOps: a robust, performing and easily scalable streaming platform
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The technological advance in sensors and the development of IoT (Internet of Things) generate a growing number of space-time data that will test and analyze StreamOps, a new streaming platform. Karine Zeitouni, Yehia Taher (DAVID Laboratory, Versailles Saint-Quentin-en-Yvelines University) and Cédric Gouy-Pailler (Laboratory of Data Analysis and Systems Intelligence, CEA List) decided to join their skills to propose to the scientific community a new, simple tool for developing powerful algorithms that can handle data flow problems. This tool will apply in particular in the medical field in collaboration with Philippe Aegerter (Inserm UMR 1168) and Marc Fischler (Foch Hospital, Versailles Saint-Quentin-en-Yvelines University).
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A generic but cutting-edge streaming platform The scientific community develops algorithms to manage data flows. The industrials want to analyze th
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DATAIA Institute presents GDP-ERE project - GDPR and Personal Cloud: from Empowerment to Responsibility
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Although the world has been shaken up by artificial intelligence and the exploitation of personal data, the place of individuals and the control of their data have become central issues in the new General Data Protection Regulation (GDPR) and the law for a digital Republic. Célia Zolynski, Professor of Private Law at the University of Versailles - Saint-Quentin-en-Yvelines (UVSQ), and Nicolas Anciaux, Petrus team research director at Inria Saclay - Île-de-France, seized the opportunity offered by the DATAIA Institute to enable a collaboration of computer scientists and lawyers to analyse the Personal Cloud architectures available today, and establish the responsibilities of each of them with the central objective of protecting the individual.
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Who is responsible for what? The GDPR replaces a directive dating back to 1995, therefore becoming the new European framework for the processing an
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