Omni: observing sustainable digital practices in the workplace

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Businesses can no longer ignore the impact that the digital world is having on the environment. At IMT Atlantique, François Deltour and Virginie Lethiais are using the OMNI observatory to explore initiatives rolled out at establishments in Brittany to reduce their digital footprint. Their latest analyses showcase various practices, ranging from raising awareness to more structured measures such as implementing electronic waste reduction policies or purchasing equipment that has been certified with eco-labels.

Elsa Dupraz, 2024 IMT-Academy of Science Young Scientist Prize

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Channel coding is the focus of Elsa Dupraz's research, a key process for improving information transmission in telecommunications. While the technique’s effectiveness in this field is well known, the researcher is also exploring novel applications, such as data compression and DNA storage. Her research, at the intersection between several disciplines, has fostered multiple collaborations and earned her the 2024 IMT-Academy of Science Young Scientist Prize.

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.
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Cancer: technology lends a listening ear to parents of children with cancer

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How can technology and social media in particular help and support parents of children with cancer? This is the subject of a project led by Institut Mines-Télécom Business School and funded by the French National Cancer Institute. Anne-Laure Delaunay, a researcher in digital transformation and emerging technologies for management, initiated the project and gives us an inside look.

2G to 5G: the ongoing transformation of mobile networks

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Mobile networks are constantly evolving, with every decade ushering in a new generation. In this article, Meroua Moussaoui, PhD student at Telecom SudParis, explains just how these networks behind our mobile phones work. She also gives us a sneak peek at the features we might experience after 5G.

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.