Boosting tomorrow’s IoT networks

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The goal of the FITNESS project is to develop networks capable of adapting to the needs of massive IoT, industrial IoT and connected transport solutions. The project is supported by the expertise of several IMT schools to address the challenges that arise from the densification of connected objects, more robust applications, energy management and various protocols, and to optimize the performance of networks in real time.

The industry of the future enters the metaverse

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The metaverse is no longer limited to online video games and social interactions, it is now a key technology for industry. With the 5GMetaverse project, five Institut Mines-Télécom schools are looking to adapt the networks of the future to the needs of augmented and virtual reality. The main goal of the project is to develop concrete solutions to optimize industrial processes, remote assistance and human-machine collaboration.
Intelligence digitale IA et développeur

Digital intelligence: towards a smarter use of AI

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Digital intelligence is a form of intelligence that allows us to use technologies such as artificial intelligence to good effect. But there are differences between these two concepts. Individuals can benefit from appropriate training in the use of technology. Aurélie Dudézert, professor at Institut Mines-Télécom Business School, tells us more about aspects of digital intelligence in the age of AI technologies.
Audit interne augmenté, auditeur sur ordinateur

Augmented internal audits and digital transformation challenges

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Digital technology is significantly changing auditing practices and the internal auditor profession. Among these new solutions, “augmented” internal audits are becoming increasingly popular. Nabyla Daidj, a research professor in strategy and management information systems at Institut Mines-Télécom Business School and head of the Information Systems Audit and Consulting (ACSI) major, explains how augmented internal audits work.

Digital twins for industrial systems: future allies for performance

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To achieve its mission, the Digital Twins for Industrial Systems Chair combines the efforts of three Institut Mines-Télécom (IMT) schools under one sponsorship chair. It provides a research framework for certain scientific and technical issues involved in use cases, performance, management and maintenance of these digital twins, with the support of three industrial partners.

Patrice Abry, winner of the 2024 IMT-Académie des Sciences Grand Prize

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Complex systems specialist Patrice Abry played a key role in identifying the fractal nature of Internet traffic as early as 1998. The success of his work, carried out in collaboration with Daryl Veitch, sparked the launch of a series of research projects integrating theoretical advances and applications, particularly in cybersecurity, that have continued over two decades. We review a career that saw techniques evolve with the times, but in which fundamental constants remain.

The AI Act makes an entrance

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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.

Omni: observing sustainable digital practices in the workplace

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Businesses can no longer ignore the impact that the digital world is having on the environment. At IMT Atlantique, François Deltour and Virginie Lethiais are using the OMNI observatory to explore initiatives rolled out at establishments in Brittany to reduce their digital footprint. Their latest analyses showcase various practices, ranging from raising awareness to more structured measures such as implementing electronic waste reduction policies or purchasing equipment that has been certified with eco-labels.

Elsa Dupraz, 2024 IMT-Academy of Science Young Scientist Prize

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Channel coding is the focus of Elsa Dupraz's research, a key process for improving information transmission in telecommunications. While the technique’s effectiveness in this field is well known, the researcher is also exploring novel applications, such as data compression and DNA storage. Her research, at the intersection between several disciplines, has fostered multiple collaborations and earned her the 2024 IMT-Academy of Science Young Scientist Prize.

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.