To achieve its mission, the Digital Twins for Industrial Systems Chair combines the efforts of three Institut Mines-Télécom (IMT) schools under one sponsorship chair. It provides a research framework for certain scientific and technical issues involved in use cases, performance, management and maintenance of these digital twins, with the support of three industrial partners.

The AI Act was adopted on June 13, 2024 with the aim of regulating artificial intelligence within the EU. The Act classifies AI systems by their level of risk, and imposes strict restrictions on technologies that pose significant threats to security and individual liberties. How does this differ in comparison to existing frameworks and how will it be implemented? An analysis from Winston Maxwell and Anne-Sophie Taillandier, two AI experts.

Stéphane Avril, Biomechanics professor at Mines Saint-Etienne, is exploring the route of entrepreneurship to take his research work to the next level. In co-founding PrediSurge in 2017 and then KaomX in 2024, he has been creating start-ups to take innovations from the laboratory into the economic sphere. Between technology, filing patents and improving technology readiness, let’s take a look back over his achievements as a researcher-entrepreneur.

Millions of tonnes of waste are produced every year by the construction industry in France. The Cirval industrial chair is therefore devoted to reducing the impact of the sector. The Fondation Mines-Télécom, IMT Nord Europe and a dozen SMEs work together as part of Cirval, developing concrete solutions to recycle, reuse and save resources. At the same time, Cirval works with institutions to adapt standards and facilitate the circular economy in the construction industry.

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.

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.

Now a common practice in many companies, remote work is more or less accepted by employees. Advances in technology, the importance of working environments and work-life balance are all key issues in the remote work debate. Chantal Ammi, a professor at Institut Mines-Télécom Business School, has studied the acceptance model of remote work.

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.

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.

The recycling market is expanding, even to assembly plants! Using a software ecosystem, the European ALICIA project aims to promote the circulation of production resources. Scientists from IMT Atlantique involved in the project are working to develop a platform to optimize production lines, by minimizing machine changeovers and promoting the use of second-hand resources.

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.