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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.
For several years now, a team from IMT Atlantique has been working in cooperation with doctors from Brest University Hospital and a psychologist from Fondation Bon Sauveur in Bégard to improve early detection of mental disorders such as schizophrenia and to reduce suicidal relapses. The success of this approach based on digital tools lies in the robustness of the analysis and decision models the scientists have developed. It is also dependent on the quality of the health data, which must be correctly recorded by hospital staff.
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.
By continuously ensuring the seamless operation of the digital chain, data centers give off a considerable amount of heat and require additional energy to power their cooling systems. DENV-R, a start-up incubated at IMT Atlantique and present at VivaTech 2023, proposes a floating data center solution that uses water to cool itself, minimizing its impact […]
Gregory Zacharewicz, IMT Mines Alès – Institut Mines-Télécom and Baptiste Magnier, IMT Mines Alès – Institut Mines-Télécom Bees are key participants in biodiversity. They contribute enormously to pollination, an essential step in the life cycle of plants. Yet current threats to biodiversity herald the disappearance of pollinating insects and honey bees in particular (such as […]
As medicine and genetics make increasing use of data science and AI, the question of how to protect this sensitive information is becoming increasingly important to all those involved in health. A team from the LaTIM laboratory is working on these issues, with solutions such as encryption and watermarking. It has just been accredited by Inserm.
The original version of this article (in French) was published in the quarterly newsletter no. 20 (March 2021) of the Values and Policies of Personal Information (VP-IP) Chair. On 25 November 2020, the European Commission published its proposal for the European data governance regulation, the Data Governance Act (DGA) which aims to “unlock the economic and societal potential of data and […]
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 […]
Reading and understanding data is not always a simple task. To make it easier, Samuel Huron is developing tools that allow us to handle data physically. The Télécom Paris researcher in data visualization and representation seeks to make complex information understandable to the general public. Before numbers were used, merchants used clay tokens to perform mathematical operations. […]
The European data protection regulation (GDPR), introduced in 2018, set limits on the use of trackers that collect personal data. This data is used to target advertising to users. Vincent Lefrère, associate professor in digital economy at Institut Mines-Télécom Business School, worked with Alessandro Acquisti from Carnegie Mellon University to study the impact of the GDPR […]
