Posts

Planning for the worst with artificial intelligence

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Given that catastrophic events are rare by nature, it is difficult to prepare for them. However, artificial intelligence offers high-performing tools for modeling and simulation, and is therefore an excellent tool to design, test and optimize…
MuTAS, urban mobility

“En route” to more equitable urban mobility, thanks to artificial intelligence

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Individual cars represent a major source of pollution. But how can you transition from using your own car when you live far from the city center, in an area with little access to public transport? Andrea Araldo, researcher at Télécom SudParis…
Projet MAESTRIA AVC

A European consortium for early detection of stroke and atrial fibrillation

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The European project MAESTRIA, launched in March 2021 and set to run 5 years, will take on the major challenges of data integration and personalized medicine with the aim of preventing heart rhythm problems and stroke. How? By using artificial…
intelligence artificielle, artificial intelligence

Is there intelligence in artificial intelligence?

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Jean-Louis Dessalles, Télécom Paris – Institut Mines-Télécom (IMT) Nearly a decade ago, in 2012, the scientific world was enthralled by the achievements of deep learning.  Three years later, this technique enabled the AlphaGo…
Comprendre informations du langage, algorithms

Making algorithms understand what we are talking about

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Human language contains different types of information. We understand it all unconsciously, but explaining it systematically is much more difficult. The same is true for machines. The NoRDF Project Chair "Modeling and Extracting Complex…
Digital innovations in health

Innovation in health: towards responsibility

Digital innovations are paving the way for more accurate predictive medicine and a more resilient healthcare system. In order to establish themselves on the market and reduce their potential negative effects, these technologies must be responsible.…
Eclairer boites noires, algorithms

Shedding some light on black box algorithms

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In recent decades, algorithms have become increasingly complex, particularly through the introduction of deep learning architectures. This has gone hand in hand with increasing difficulty in explaining their internal functioning, which has become an important issue, both legally and socially. Winston Maxwell, legal researcher, and Florence d’Alché-Buc, researcher in machine learning, who both work for Télécom Paris, describe the current challenges involved in the explainability of algorithms.
RAMP UP Seed

Supporting companies in the midst of crisis

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The RAMP-UP Seed project is one of 9 new projects to have been selected by the German-French Academy for the Industry of the Future as part of the “Resilience and Sustainability for the Industry of the Future” call for projects. It focuses…

How to better track cyber hate: AI to the rescue

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The widescale use of social media, sometimes under cover of anonymity, has liberated speech and led to a proliferation of ideas, discussions and opinions on the internet. It has also led to a flood of hateful, sexist, racist and abusive speech.…
AI

AI for interoperable and autonomous industrial systems

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At Mines Saint-Étienne, researchers Olivier Boissier, Maxime Lefrançois and Antoine Zimmermann are using AI to tackle the issue of interoperability, which is essential to the industry of the future. The standardization of information…