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158 search results for: "Artificial Intelligence"

21

What are neural networks?

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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.

22

Protecting sensitive sites: AI in radar systems

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Radar systems are safe and durable, and used for both detection and surveillance. However, they deliver signals, not images, which can be difficult to interpret. Using artificial intelligence to complement current algorithms offers a technological solution to this problem. The RadaR-IO laboratory, shared by IMT Mines Albi and the company EPSI, is looking to develop and industrialize this solution.

23

When assembly lines become circular

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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.

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High-level video surveillance for the Paris 2024 Olympic and Paralympic Games

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Security methods for the Paris 2024 Olympic and Paralympic Games are relying on artificial intelligence, specifically algorithmic video surveillance. However, this technology poses a number of issues, particularly in terms of personal data protection. Claudine Guerrier, legal researcher at Institut Mines-Télécom Business School, tells us more about video surveillance using artificial intelligence.

25

Behind the prompts: the unsuspected risks of generative AI

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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.

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The cruel dilemma of health data in the ai era: privacy or equity?

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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.

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When hydropower goes digital

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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.

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Will buildings soon achieve self-awareness?

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The SUST(AI)N project aims to create connected and aware buildings with a focus on human needs. The technological blocks for this system include ubiquitous and invisible sensors powered by radio frequency signals. A Telecom SudParis team has been working on this new development for over a year.

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BAYFLEX: green electronics for health

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The European BAYFLEX project aims to develop flexible, intelligent sensors capable of continuously collecting and processing biological signals before their on-chip classification. This ambitious project adds value by using “green” organic technologies, which require less energy to manufacture and use.