Search Results for: Data

Breaking products down for customization

personalizing, customization

Customers’ desire to take ownership of products is driving companies to develop more customized products. Élise Vareilles, a researcher in industrial engineering at IMT Mines Albi, works to develop interactive decision support tools. Her goal: help companies mass-produce customized goods while controlling the risks related to production. This research was presented at the IMT symposium on “Production Systems of the …

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Restricting algorithms to limit their powers of discrimination

algorithms

From music suggestions to help with medical diagnoses, population surveillance, university selection and professional recruitment, algorithms are everywhere, and transform our everyday lives. Sometimes, they lead us astray. At fault are the statistical, economic and cognitive biases inherent to the very nature of the current algorithms, which are supplied with massive data that may be incomplete or incorrect. However, there …

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The hidden secrets of the colors of cave paintings at prehistoric sites

cave paintings

The colors of cave paintings are of great interest because they provide information about the techniques and materials used. Studying them also allows fewer sample to be taken from ancient paleolithic works. Research in colorimetry by Dominique Lafon-Pham at IMT Mines Alès provides a better definition of the colors used in paintings by our ancestors.   Mammoths, steppe lions and woolly …

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Digital twins in the health sector: mirage or reality?

Digital twins, which are already well established in industry, are becoming increasingly present in the health sector. There is a wide range of potential applications for both diagnosis and treatment, but the technology is mostly still in the research phase.   The health sector is currently undergoing digital transition with a view to developing “4P” treatment: personalized, predictive, preventive and …

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Ethical algorithms in health: a technological and societal challenge

Since the enthusiasm for AI in healthcare brought on by IBM’s Watson, many questions on bias and discrimination in algorithms have emerged. Photo: Wikimedia.

The possibilities offered by algorithms and artificial intelligence in the healthcare field raise many questions. What risks do they pose? How can we ensure that they have a positive impact on the patient as an individual? What safeguards can be put in place to ensure that the values of our healthcare system are respected?   A few years ago, Watson, …

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Artificial Intelligence: TeraLab becomes a European “Digital Innovation Hub”

digital Innovation Hub

TeraLab becomes one of the 30 Digital Innovation Hubs (DIH) selected by the European Union in artificial intelligence. This new recognition consolidates the place of the IMT’s TeraLab platform in the field of AI as well as its impact on business transformation.   On February 28 last year, the European Commission, via the AI DIH Network project, recognized TeraLab as …

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Technology that decrypts the way our brain works

Electroencephalogram: a brain imaging technique that is efficient but limited in terms of spatial resolution.

Different techniques are used to study of the functioning of our brain, including electroencephalography, magnetoencephalography, functional MRI and spectroscopy. The signals are processed and interpreted to analyze the cognitive processes in question. EEG and MRI are the two most commonly used techniques in cognitive science. Their performances offer hope and but also concern. What is the current state of affairs …

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When organizations respond to cyberattacks

Cyberattacks are a growing reality that organizations have to face up to. In the framework of the German-French Academy for the Industry of the Future, researchers at IMT and Technische Universität München (TUM) show that there are solutions to this virtual threat. In particular, the ASSET project is studying responses to attacks that target communication between smart objects and affect …

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Algorithmic bias, discrimination and fairness

biais des algorithmes, algorithmic bias

David Bounie, Professor of Economics, Head of Economics and Social Sciences at Télécom ParisTech Patrick Waelbroeck, Professor of Industrial Economy and Econometrics at Télécom ParisTech and co-founder of the Chair Values and Policies of Personal Information The original version of this article was published on the website of the Chair Values and Policies of Personal Information. This Chair brings together researchers …

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The many layers of our environmental impact

The water footprint of a product has long been difficult to evaluate. Where does the water come from? What technology is used to process and transport it? These are among the questions researchers have to answer in better measuring environmental impact.

An activity can have many consequences for the environment, from its carbon footprint, water consumption, pollution, changes to biodiversity, etc. Our impacts are so complex that an entire field of research has been developed to evaluate and compare them. At IMT Mines Alès, a team of researchers is working on tools to improve the way we measure our impacts and …

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