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Roberta #3

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Roberta #3
Roberta Newsletter 3 UK


Roberta Wohlstetter (1912-2007)
Pioneer of modern intelligence

" A brain well formed rather than one well filled. "

Montaigne, with this sentence from one of his essays "On the education of children", recommends to parents a teacher capable of putting morality and intelligence above knowledge. The machine, on the other hand, needs huge amounts of data and strong ethical principles in order to learn.

In this new edition of Roberta, we explore human and machine learning.

Hubert Beroche, President of the AI for Tomorrow association, which we support, will talk to us about AI for future generations; Philippe Boulanger, Director of the Geography-GEOINT Master's degree at Sorbonne University will explain how he trains young geographers in AI - and how we are helping him.

A selection of articles, a case study, words of vocabulary to learn more about how AI works. And finally, a podcast on Jules Verne to re-discover the visionary novelist who democratised science for all.

Arnaud Guérin et Renaud Allioux, co-founders at Preligens

Our curation of news

Proposal for a US-EU Digital Council

Building a global conversation
How should the new Biden administration address the digital challenge with our European allies? In this briefing note, Europe Center Distinguished Fellow Frances Burwell proposes the creation of a U.S.-EU Digital Council as a forum for high-level strategic dialogues to build transatlantic consensus on digital and technology policy.

Finland aims to train European citizens in the basics of artificial intelligence

An initiative launched by Finland aims to train at least 1% of EU citizens in the basics of artificial intelligence. The Elements of AI course will enable everyone who wants to learn more about AI to do so. 22 EU countries took part in the project, which was coordinated with the help of the University of Helsinki, the Finnish government, the European Commission and Reaktor, a company specialising in the development of digital services and products.

Use Case

It all comes down to training

Satellite images that are used for Defense and Intelligence purposes are taken more than 600 kilometers above us. It is like taking a picture of the Eiffel tower from the top of Mont Blanc. Their resolution, number of pixels and size are therefore very different from pictures we would take with our smartphones and this is a real challenge for developing machine learning algorithms.

A word of vocabulary

Supervised Learning

With supervised learning, the algorithm learns from thousands or millions of labelled data: ground truths (definition in our first newsletter). It learns the parameters that allow it to associate labels with images. When it comes to classifying images, after learning to classify training data correctly, it can then generalise this classification to new data: classify correctly new images of cars, planes or boats that it has never seen during the learning phase. This is called prediction (definition in our second newsletter).


Three questions to Hubert Beroche

Hubert Beroche, President of AI for Tomorrow

What are the biggest challenges that AI can address in building the world of tomorrow?

AI can help us address many of the challenges of our time. Take the example of cities. They now account for over 70% of our CO2 emissions. Our ability to maintain a livable world therefore depends on our ability to create sustainable cities. And I believe that AI can help us do this. Firstly by optimising existing systems (energy, roads, etc.), but above all by making urban paradigm shifts possible: by serving as a support for circular urbanism, by participating in a better distribution of urban infrastructures and services, or by promoting soft mobility. AI can also contribute to the fight against auto-solicitation by promoting shared mobility and to the preservation of urban canopies. In each of these cases, AI contributes to the creation of low-carbon cities.

AI for students

Master Geopolitics Geoint

Philippe Boulanger is the Director of the Geopolitics-Geoint Master at Sorbonne University. He talks about its creation and the need to integrate AI in the training of the students of the master's degree, of which Preligens is a partner.

Interview Philippe Boulanger


Jules Verne - between dreams and wisdom

When Jules Verne was born in 1828 in Nantes, France, Napoleon had just died on Saint Helena, humanity was still writing with quill pens, and was travelling on foot or by carriage - cars and trains did not exist on the European continent, which remained 80% rural back then. So how did Jules Verne manage to predict the future and democratize science several generations ahead of time?

If you like this newsletter, please feel free to share it and transfer it as much as you want.

If you have any comments or suggestions, you can reach out to the following email address :

Thank you for reading !

Pioneering AI technology for a safer world

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