Scientific news from the Institut Mines-Télécom.

IMT

Chaque année, 213 millions de tonnes de déchets sont produites par le secteur du BTP en France (chiffres Ademe).

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.

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.

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.