Télécom Paris | Natural Language Processing, machine learning, affective computing, human-agent interaction

The inland container logistics chain suffers from low digitization, which limits organization and communication between the various parts of the chain. To overcome this problem, the start-up DMS Logistics, incubated at Mines Saint-Étienne, is developing a platform to optimize management of these flows of goods. It uses machine learning methods to automate the creation of schedules, reduce congestion at terminals …

The world of healthcare has extensive databases that are just waiting to be used. This is one of the issues Benjamin Dalmas, a data science researcher at Mines Saint-Étienne, is exploring in his work. His main objective is to understand the origin of this data to use it more effectively. As such, he is working with players from the public …

The European project MAESTRIA, launched in March 2021 and set to run 5 years, will take on the major challenges of data integration and personalized medicine with the aim of preventing heart rhythm problems and stroke. How? By using artificial intelligence approaches to create multi-parametric digital tools. Led by Sorbonne University and funded by the European Union to the tune …

Digital innovations are paving the way for more accurate predictive medicine and a more resilient healthcare system. In order to establish themselves on the market and reduce their potential negative effects, these technologies must be responsible. Christine Balagué, a researcher in digital ethics at Institut Mines-Télécom Business School, presents the risks associated with innovations in the health sector and ways …

In recent decades, algorithms have become increasingly complex, particularly through the introduction of deep learning architectures. This has gone hand in hand with increasing difficulty in explaining their internal functioning, which has become an important issue, both legally and socially. Winston Maxwell, legal researcher, and Florence d’Alché-Buc, researcher in machine learning, who both work for Télécom Paris, describe the current challenges involved …

The ERC PERFUME project, led by EURECOM researcher David Gesbert and ending in 2020, resulted in the development of algorithms for local decision making in the mobile network. This research was tested on autonomous drones, and is particularly relevant to the need for connected robotics in the post-5G world. Now that 5G is here, who’s thinking about what comes next? …

The widescale use of social media, sometimes under cover of anonymity, has liberated speech and led to a proliferation of ideas, discussions and opinions on the internet. It has also led to a flood of hateful, sexist, racist and abusive speech. Confronted with this phenomenon, more and more platforms today are using automated solutions to combat cyber hate. These solutions …

The OSO-AI start-up has recently completed a €4 million funding round. Its artificial intelligence solution that can detect incidents such as falls or cries for help has convinced investors, along with a number of nursing homes in which it has been installed. This technology was developed in part through the work of Claude Berrou, a researcher at IMT Atlantique, and …

Last spring, France decided to impose a lockdown to respond to the health crisis. Our cities came to a standstill and cars disappeared from the streets, allowing residents to rediscover quieter sounds like birdsong. A team of researchers decided to take advantage of this calm that suddenly settled over our lives to better understand the impacts of sound pollution, and …