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181 search results for: digital uses

41

The Cybaile Chair, securing AI tools for healthcare

Thanks to AI tools, it is now possible to identify signs of disease in medical images in a robust and secure way. However, developing such tools requires access to large volumes of sensitive health data. How can we protect this data, and the tools that use it? These are the questions that Cybaile, the industrial chair in cybersecurity, AI and trust in healthcare, is trying to answer.

42

The AI Act makes an entrance

The AI Act was adopted on June 13, 2024 with the aim of regulating artificial intelligence within the EU. The Act classifies AI systems by their level of risk, and imposes strict restrictions on technologies that pose significant threats to security and individual liberties. How does this differ in comparison to existing frameworks and how will it be implemented? An analysis from Winston Maxwell and Anne-Sophie Taillandier, two AI experts.

43

What are neural networks?

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.

44

Cancer: technology lends a listening ear to parents of children with cancer

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.

45

2G to 5G: the ongoing transformation of mobile networks

Mobile networks are constantly evolving, with every decade ushering in a new generation. In this article, Meroua Moussaoui, PhD student at Telecom SudParis, explains just how these networks behind our mobile phones work. She also gives us a sneak peek at the features we might experience after 5G.

47

Torrential rain: polluting a long, calm river

Intense rainfall events linked to climate change generate dynamic runoff which, through erosion, removes materials from the soil, including contaminants. At IMT Nord Europe, research teams are carrying out complementary measurement and modeling work to understand how this displaced matter enters the water cycle, and how to better manage territories.

48

Mental disorders: when data helps save lives

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.

49

What is additive manufacturing?

Additive manufacturing, also known as 3D printing, has multiple applications in various sectors including aeronautics, the automotive industry, healthcare, and the construction industry. Many new developments are underway to optimize the performance of this process. Patricia Krawczak, a Materials and Process researcher at IMT Nord Europe, explains everything you need to know about additive manufacturing.

50

Behind the prompts: the unsuspected risks of generative AI

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.