Scientific news from the Institut Mines-Télécom.

IMT

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.

Parent d'enfant atteint de cancer avec un ordinateur

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.