Hyperconnected supply chain networks for improved circularity

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IMT Mines Albi drew on a use case on retrofitting thermal vehicles into electric vehicles to develop decision support tools to help companies design their supply chains. This work builds on the principles of the physical internet and aims to improve the circularity of supply chain networks.
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Augmented internal audits and digital transformation challenges

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Digital technology is significantly changing auditing practices and the internal auditor profession. Among these new solutions, “augmented” internal audits are becoming increasingly popular. Nabyla Daidj, a research professor in strategy and management information systems at Institut Mines-Télécom Business School and head of the Information Systems Audit and Consulting (ACSI) major, explains how augmented internal audits work.
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CEREBRO: towards complete non-invasive imaging of brain activity

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The aim of the European CEREBRO project is to create the first electrical contrast medium to provide complete non-invasive images of the brain. Current methods for imaging brain activity using electroencephalography are limited in terms of spatial resolution, and do not cover the whole brain. The product to be developed by CEREBRO is designed to overcome these limitations. IMT Atlantique researchers Adrien Merlini and François Rousseau reveal the details of this project.

Protecting sensitive sites: AI in radar systems

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Radar systems are safe and durable, and used for both detection and surveillance. However, they deliver signals, not images, which can be difficult to interpret. Using artificial intelligence to complement current algorithms offers a technological solution to this problem. The RadaR-IO laboratory, shared by IMT Mines Albi and the company EPSI, is looking to develop and industrialize this solution.

StressID, a multimodal database for detecting stress

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StressID is a multimodal database for identifying stress. The project represents one of the largest collections of audio, video and physiological expressions of stress collected from numerous participants. It aims to provide an experimental protocol that is simple to reproduce. Maria Zuluaga, a researcher in the Data Science department at EURECOM, and her PhD student Hava Chaptoukaev tell us all about StressID.

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.

Olympic and paralympic games 2024, the competition of radio frequencies

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Last summer, Paris hosted the Olympic and Paralympic Games, an international event that brought with it an unparalleled need to control radio frequencies and prevent both intentional and unintentional interference. This was the role of France’s National Frequency Agency (ANFR), which was having to increase its workforce accordingly. To meet this exceptional need, Télécom SudParis recruited and trained a number of students over several months to help with controlling frequencies.

Behind the prompts: the unsuspected risks of generative AI

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The EU recently adopted the AI Act, which establishes a legal framework for the safe and ethical use of AI. But what about generative AI? At Institut Mines-Télécom Business School, a researcher and her PhD student are studying the risks associated with generative AI, particularly ChatGPT, based on real-life incidents. Their work highlights major ethical issues and shows the emergence of multifaceted risks associated with the new uses of this revolutionary technology.

Do we still need structured information? (The answer is yes)

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Large language models (LLM) are revolutionizing the relevance of natural language comprehension and text responses. Combining them with structured data for standardized organization only improves their accuracy. It is against this backdrop that Telecom Paris researcher Fabian Suchanek and his team are continuing to develop the YAGO knowledge base.

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.