If you are not happy with the results below please do another search
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.
Télécom Paris | Artificial Intelligence, Algorithms, Ethics
IMT Mines Alès | Artificial Intelligence, Machine Learning
The metaverse is no longer limited to online video games and social interactions, it is now a key technology for industry. With the 5GMetaverse project, five Institut Mines-Télécom schools are looking to adapt the networks of the future to the needs of augmented and virtual reality. The main goal of the project is to develop concrete solutions to optimize industrial processes, remote assistance and human-machine collaboration.
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.
Philosophy and mathematics come together in the work of René Descartes. Yet there are still many facets of Cartesian mathematics that remain little-known. In the book Descartes et ses mathématiques, edited by Olivia Chevalier, Research Officer at Institut Mines-Télécom Business School, she presents Descartes’ mathematical thinking, along with other authors.
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.
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.
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.
The Di-Hydro project involves digitizing hydropower plants, to operate them as sustainably as possible and better plan maintenance. IMT, in particular Télécom SudParis, is contributing to the development of a federated platform designed to facilitate secure data-exchange and decision-making, both at the level of each individual plant and collectively.
