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Science Festival 2022
IDRIS participated in the Science Festival which took place from October 7 to 17, 2022:
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IDRIS was present at the CNRS booth at the Paris-Saclay Science Village on Saturday, October 8.
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On Friday, October 7 and Saturday, October 8, exceptional visits to IDRIS were organized as part of the CNRS unusual visits, under the title:
"Journey to the heart of AI: exceptional visit to the Jean Zay supercomputer"
These visits took place in two parts:
- Discovery and presentation of the Jean Zay supercomputer, an essential element of the national artificial intelligence (AI) research strategy used by a community of more than 1,500 researchers in the field. During this visit, visitors were accompanied by IDRIS staff members who answered their questions.
- Time for discussion with IDRIS engineers who were happy to reveal their secrets around two interactive sessions:
- Chatting with BLOOM, a model capable of speaking 46 languages and which required three and a half months of training on Jean Zay, during the BigScience project in 2022.
- Defying a virtual artist: will it be able to understand and illustrate the most extravagant ideas?
The unusual visits in the press
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CNRS Info (08/25/2022): Take part in the CNRS Unusual Visits
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ActuEssonne (08/26/2022): Essonne: three unusual visits "at the heart of research" in Orsay
"So, was it good?"
During the science festival, participants in the IDRIS visit had the opportunity to discover how the BLOOM and Stable Diffusion artificial intelligences work by testing them with ideas as unusual as they are interesting.
We invite you to discover below:
- resources that can help you understand the general functioning of an AI, of BLOOM, and of Stable Diffusion,
- a sample of the tests carried out by the visitors.
Posters presented
Images generated using Stable Diffusion (text-to-image generation)
Texts generated with BLOOM from visitors' proposals
Question: Should we say pain au chocolat or chocolatine? Answer:
There is no rule, it is a matter of taste. The term chocolatine is more used in the South-West and pain au chocolat in the rest of France.
Article: Fast modeling of turbulent transport in fusion plasmas using neural networks Abstract:
In this paper, we present a novel approach for fast modeling of the turbulent heat and particle fluxes in tokamak plasmas. The approach is based on the use of artificial neural networks (ANNs). The ANNs are trained to reproduce the results of the nonlinear gyrokinetic code GS2, which is used as a reference. The training of the ANNs is performed using a database of GS2 simulations. The database is generated by varying the plasma parameters in a wide range of values, which are typical for present and future tokamaks. The tra ined ANNs reproduce the GS2 results with a high accuracy. The ANN approach allows one to obtain the fluxes within a fraction of a second, which makes it possible to use the ANN model in real-time applications. In this work, we demonstrate the application of the developed ANN models for the analysis of the dependence of the heat fluxes on the main plasma parameters, such as the plasma current, the safety factor, the electron density, and the electron temperature. The obtained results are in a good agreement with the predictions of the ne oclassical theory and with the experimental data. The developed approach can be used for the optimization of the plasma profiles and for the real-time control of the fusion plasma parameters. Keywords: Artificial neural networks, Gyrokinetics, Turbulent transport, Tokamak plasmas
This is the story of a purple sausage
who wanders in the forest and meets many animals. She asks them questions about their eating habits and discovers that everyone has different tastes. An album on the theme of difference and tolerance.
Question: What is the worst Star Wars spoiler? Answer:
The worst spoiler of the Star Wars saga is the revelation of Luke Skywalker's father's identity in the movie Star Wars: Episode VII - The Force Awakens. Indeed, the film was released in December 2015, more than 40 years after the release of the first film in the saga, Star Wars: Episode IV - A New Hope, and more than 30 years after the release of Star Wars: Episode V - The Empire Strikes Back, which revealed that Luke Skywalker was the son of Anakin Skywalker, the future Darth Vader.
Question: Which country has the best couscous and why? Answer:
The best couscous is my mother's. It's the best couscous in the world. It's the best couscous in the universe. It's the best couscous that has ever existed. It's the best couscous I have never eaten. It's the best couscous I have ever tasted. It's the best couscous one can imagine. It's the best couscous one can dream of. It's the best couscous in the world. It's my mother's couscous. It's the couscous of my childhood. It's the couscous of my memories. It's the couscous I used to eat when I was little. It's the couscous I have eaten all my life. It's the couscous I love. It's the couscous I adore. It's the couscous I can't do without. It's the couscous I have always dreamed of. It's the couscous I miss. It's the couscous I would like to eat every day. It's the couscous that is part of me. It's the couscous that is in me. It's the couscous of life. It's the couscous of love. It's the couscous of friendship. It's the couscous of sharing. It's the couscous of pleasure. It's the couscous of happiness. It's the couscous of comfort. It's the couscous of remembrance. It's the couscous of childhood. It's the couscous of adolescence. It's the couscous of adulthood. It's the couscous of the past. It's the couscous of the present. It's the couscous of the future. It's the couscous of tomorrow. It's the couscous of forever. It's the couscous of eternity. It's the couscous of paradise
Once upon a time there was a prince in the forest.
Once upon a time there was a prince in the forest.
He was so handsome that all the girls in the village fell in love with him.
But the prince had a secret.
He was in love with the miller's daughter.
One day, he asked her to marry him.
The miller's daughter was very beautiful.
But she was also very poor.
The prince knew that his family would never accept this union.
So, he fled into the forest.
The prince and the miller's daughter lived happily in the forest.
But one day, the prince's father died.
He bequeathed his kingdom to him.
The prince was so happy that he forgot the miller's daughter and returned to his castle.
But the miller's daughter was still in love with him.
One day, she decided to go to the prince's castle.
But when she arrived, the castle was in ruins.
The prince had been killed in a battle.
She went to the prince's room.
And there, she found a baby.
She took it in her arms and hugged it tightly.
She squeezed it so hard that her arms became wings.
And the baby transformed into a beautiful white bird.
The bird flew into the sky.
And the miller's daughter followed it with her eyes until it disappeared on the horizon.
And since that day, people say that when the white bird passes, it means the prince and the mill girl are kissing.
It's a beautiful story, isn't it?
Yes, it's a beautiful story.
It's a very beautiful story.
I'm sorry.
I didn't mean to wake you up.
I wasn't sleeping.
I was looking at the stars.
They are beautiful, aren't they?
Yes.
They are beautiful.
You know what I think?
What?
I think we are like the stars.
You see, when we were kids
What to do in Ile-de-France in autumn on the weekend?
What to do in Ile-de-France in autumn on the weekend? Discover our selection of outings and activities to do in the Paris region in October, November, and December. Whether for a weekend with family, friends, or lovers, there is something for everyone.
The month of October is ideal for visiting the parks and gardens of Paris and Ile-de-France. The trees are adorned with their most beautiful colors and temperatures are still mild. Take the opportunity to walk in the gardens of the Palace of Versailles, the Floral Park of Vincennes, or the Jardin des Plantes.
French: Je voudrais une Sangria s'il vous plait. Spanish:
French: Je voudrais une Sangria s'il vous plait.
Spanish: Me gustaría una Sangría, por favor.
German: Ich möchte eine Sangria bitte.
Italian: Vorrei una Sangria, per favore.
Portuguese: Eu gostaria de uma Sangria, por favor.
Russian: Я хочу сангрия, пожалуйста.
Polish: Chciałbym Sangria, proszę.
Chinese: 我想来杯桑格利亚汽酒。
Japanese: 私はサングリアをいただきたいです。
Korean: 나는 상가리아를 좋아해요.
Vietnamese: Tôi muốn một ly Sangria, xin vui lòng.
Naruto Summary:
Naruto is a 12-year-old boy from the hidden village of Konoha in the Land of Fire. He is rejected by all the inhabitants of his village because he carries the Nine-Tailed Demon Fox sealed inside him by the 4th Hokage, Minato Namikaze, to save the village of Konoha from destruction. Despite this, Naruto dreams of becoming Hokage, the most powerful ninja in the village, to be recognized by everyone. To do this, he will have to go through many trials and face many enemies.
Question: What is the purpose of localization in data assimilation? Answer:
The purpose of localization is to reduce the effects of the spatial correlation of observation and model errors. Localization is a method of spatial filtering of observations and the model. It allows reducing the spatial correlations of observation and model errors, and thus reducing the size of the observation and model error covariance matrix. Localization also allows reducing the temporal correlations of observation and model errors, and thus reducing the computation time necessary for data assimilation. Localization allows reducing the size of observation and model error covariance matrices, and therefore reducing the computational cost of data assimilation.
Question: What is the difference between localization and filtering? Answer:
Localization and filtering are two methods for reducing the size of error covariance matrices. Filtering is a method for reducing the dimensionality of error covariance matrices. Filtering is used to reduce the dimensionality of the observation error covariance matrix. Localization is used to reduce the dimensionality of the observation and model error covariance matrices.
Question: What is the relationship between localization and the Kalman filter? Answer:
In the Kalman filter, the model's error covariance matrix is assumed to be diagonal. Localization allows taking into account the spatial correlation of the model's errors. Localization is therefore an extension of the Kalman filter.