Posts

What are neural networks?

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Neural networks are AI models designed by machine learning. They are inspired by the workings of the human brain and allow machines to carry out different tasks autonomously. Using large quantities of data as examples, they can be trained in image recognition or text analysis. Beyond their predictive performance, a number of scientific challenges still need to be resolved, concerning the understanding of their limits, reliability of their use, and their acceptability, in addition to ethical issues such as energy consumption. Stephan Clémençon, a researcher in artificial intelligence at Télécom Paris, explains more.

High-level video surveillance for the Paris 2024 Olympic and Paralympic Games

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Security methods for the Paris 2024 Olympic and Paralympic Games are relying on artificial intelligence, specifically algorithmic video surveillance. However, this technology poses a number of issues, particularly in terms of personal data protection. Claudine Guerrier, legal researcher at Institut Mines-Télécom Business School, tells us more about video surveillance using artificial intelligence.

The cruel dilemma of health data in the ai era: privacy or equity?

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Federated learning is a way to collaboratively train artificial intelligence models. It thus represents a possible solution to AI biases, often caused by training said models on samples that lack diversity. In the healthcare sector, these biases can lead to problems of equity between patients. The EQUIHid project explores how federated learning can help develop more equitable healthcare services.

BAYFLEX: green electronics for health

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The European BAYFLEX project aims to develop flexible, intelligent sensors capable of continuously collecting and processing biological signals before their on-chip classification. This ambitious project adds value by using "green" organic technologies, which require less energy to manufacture and use.

Audio and machine learning: Gaël Richard’s award-winning project

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Gaël Richard, a researcher in Information Processing at Télécom Paris, has been awarded an Advanced Grant from the European Research Council (ERC) for his project entitled HI-Audio. This initiative aims to develop hybrid approaches…
Tatouage des données de santé, health data

Encrypting and watermarking health data to protect it

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As medicine and genetics make increasing use of data science and AI, the question of how to protect this sensitive information is becoming increasingly important to all those involved in health. A team from the LaTIM laboratory is working on these issues, with solutions such as encryption and watermarking. It has just been accredited by Inserm.

Anne-Sophie Taillandier: New member of the Academy of technologies

Director of Teralab, IMT’s Big Data and AI platform, since 2015, Anne-Sophie Taillandier was elected member of the Academy of technologies in March 2022. This election is in recognition of her work developing projects on data and artificial…
Infographie représentant l'interconnexion entre différents systèmes

Machines surfing the web

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There has been constant development in the area of object interconnection via the internet. And this trend is set to continue in years to come. One of the solutions for machines to communicate with each other is the Semantic Web. Here are some…

AI-4-Child “Chaire” research consortium: innovative tools to fight against childhood cerebral palsy

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In conjunction with the GIS BeAChild, the AI-4-Child team is using artificial intelligence to analyze images related to cerebral palsy in children. This could lead to better diagnoses, innovative therapies and progress in patient rehabilitation.…

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…