19.05.2020

Applications for PRAIRIE Master fellowships are open!

PRAIRIE Master’s fellowships are accepting applications for four attractive programs: MASH | PSL, IASD | PSL, Bioentrepreneur Program | Paris Descartes, and MVA | Paris Descartes (Health track).

The fellowships are available for M1 or M2 years and are awarded on academic criteria. Please find more information here.

06.05.2020

Participate in Challenge Data 2020 !

Stephane Mallat, PRAIRIE chair, invites you to participate in Challenge Data 2020.
Data science challenges are organized by the Data team at ENS in order to put companies in contact with excellent students, engineers and researchers in data science.

The web platform challengedata.ens.fr includes the presentation of problems, and ensures exchanges of data and automatic evaluation of the results of participants. Lecturers can set up an account to select challenges adapted to their course and get access to a dashboard which monitors student activity during the course. The students can upload a report, which is downloadable by the pedagogical supervisor.

Have a look at the videos presenting the challenges: http://www.college-de-france.fr/site/stephane-mallat/Challenges-2020.htm

More information about Challenge Data (in French) here

In order to participate take a look at general documentation and FAQ.

06.04.2020

Follow online course on deep learning by Marc Lelarge!

For the duration of the confinement, Marc Lelarge, PRAIRIE chair, is offering the new version of his Deep Learning course online.

Marc Lelarge is the co-founder at Pluton AI and Deep Learning lecturer at Ecole Polytechnique and Ecole Normale Supérieure.

The course is designed with a wide target audience in mind: software developers who want to delve deeper in AI, scientists who want to want to acquire practical experience, or entrepreneurs who seek state-of-the-art technology to power their next idea.

More information: https://pluton.ai/course/

26.03.2020

Two PRAIRIE chairs elected to the Academy of Sciences

Congratulations to PRAIRIE chairs, Olivier Gascuel and Francis Bach, who have been elected to the Academy of Sciences.

Olivier Gascuel is Research Director at CNRS and Head of the Department of Computational Biology at Institut Pasteur.

Francis Bach

Francis Bach is Inria Research Director and member of the computer science department of the École Normale Supérieure, Professeur attaché at ENS/PSL, head of the Sierra project-team.

More information:

The call for innovations for the Nokia Bell Labs Prize 2020 is open

Do you have an innovative game-changing idea? Are you interested in developing it with leading Nokia Bell Labs researchers?

The Nokia Bell Labs Prize is waiting for your submission till April 27, 2020!

The Nokia Bell Labs Prize is a competition for innovators from participating countries around the globe. It seeks to recognize innovations that solve the key challenges facing humanity  and provides selected innovators the unique opportunity to collaborate with Nokia Bell Labs researchers to help realize their vision.

More information: https://www.bell-labs.com/prize/

02.03.2020

PRAIRIE and MIAI AI Summer School postponed

Due to the COVID-19 situation, we regret to inform you that PAISS Summer School, originally scheduled for July 2020 in Grenoble, is postponed.

Watch out for new dates to be announced soon: https://project.inria.fr/paiss/

Revisit some of the presentations from PAISS 2019:

Yann LeCun: Self-Supervised Learning

Alejandrina Cristià: Baby steps to language

AI and single-cell technology help better understand childhood cancer

By combining artificial intelligence with cell-by-cell analysis of tumors, researchers from Institut Curie have succeeded in better identifying the mechanisms related to Ewing sarcoma relapses.

Ewing sarcoma tumors are rare pediatric tumors, located in the bone, with around 70 cases a year in France. The major challenge of their study is to better understand their cellular origins and their heterogeneity.

By following the new “single-cell” approach the researchers can study the intratumoral heterogeneity and identify cellular sub-populations liable to be resistant to treatment. “Identifying these populations can help us better understand the causes of relapses,” explains Andrei Zinovyev, who co-leads the ‘Biology of cancer systems team’, Unit U900, jointly with Emmanuel Barillot, both holding interdisciplinary PRAIRIE chairs. To better characterize intratumoral heterogeneity at the level of individual cells, the researchers studied the properties of multi-dimensional data point clouds representing tumors, using a combination of matrix factorization and penalized regression machine learning approaches.

Their work has been published in the international journal Cell Reports: https://www.cell.com/cell-reports/fulltext/S2211-1247(20)30074-7

Source: https://institut-curie.org/actualite/publication/gaining-better-understanding-intratumoral-heterogeneity-ewing-sarcoma-through

03.12.2019

Alan Turing AI Fellowships are now open

Outline proposals are invited for Turing AI World-Leading Researcher Fellowships. Up to £18 million is available to fund a small number of fellows for up to five years starting by 1 April 2021.

The Fellowships are open to top international researchers of all nationalities, and consist of two separate programmes/calls:

Turing AI Acceleration Fellowships (£18 Million) intended to accelerate the careers of high potential researchers towards a world-leading position by the end of their fellowship.
Application deadline: 18 February 2020.

More information: https://www.ukri.org/files/funding/turing-ai-acceleration-fellowship-call-document/

Turing AI World-Leading Researcher Fellowships (£18 Million) focused on building critical mass in the UK.
Application deadline: 2 April 2020.

More information: https://www.ukri.org/funding/funding-opportunities/turing-artificial-intelligence-world-leading-researcher-fellowships/turing-ai-world-leading-researcher-fellowships-call-document-v1-0

14.11.2019

2019 Cor Baayen Young Researcher Award for Ninon Burgos


Ninon Burgos won the prestigious ERCIM Cor Baayen Young Researcher Award for her work on computational imaging of neurodegenerative diseases.

The award was presented at the end of October in Rome during the European Computer Science Summit (ECSS). The Cor Baayen Young Researcher Award is awarded each year to a promising young researcher in computer science or applied mathematics. It recognises the outstanding scientific quality of research and the impact it has already had on science and society.

Currently working in the ARAMIS Joint Project Team located at the Brain and Spine Institute (Institut du cerveau et de la moelle épinière – ICM), a multidisciplinary laboratory affiliated to several research institutions, including Inria Paris, CNRS, Inserm and Sorbonne Université, Ninon Burgos’ research involves developing computational imaging tools to improve our understanding and diagnosis of dementia.

More information:

https://www.inria.fr/en/centre/paris/news/ninon-burgos-wins-2019-ercim-cor-baayen-young-researcher-award (in English)

https://www.inria.fr/centre/paris/actualites/ninon-burgos-obtient-le-cor-baayen-award-2019 (in French)

12.11.2019

ALMAnaCH launches CamemBERT

The ALMAnaCH team, which focuses on Natural Language Processing (NLP), has released CamemBERT, a state-of-the-art language model for French.

CamemBERT is based on the RoBERTa architecture and has been trained on 138GB of French text. It establishes a new state of the art in part-of-speech (POS) tagging, Dependency Parsing and named entity recognition (NER), and achieves strong results in natural language inference (NLI); improving the state of the art for most tasks over previous monolingual and multilingual approaches, which confirms the effectiveness of large pretrained language models for French.

CamemBERT is the result of a joint work involving Inria and Facebook Research, and was trained and evaluated by Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric Villemonte de la Clergerie, Djamé Seddah and Benoît Sagot.

More information: https://camembert-model.fr