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143 search results for: Artificial Intelligence

51

The worrying trajectory of energy consumption by digital technology

Fabrice Flipo, Institut Mines-Télécom Business School [divider style=”normal” top=”20″ bottom=”20″] [dropcap]I[/dropcap]n November, the General Council for the Economy, Industry, Energy and Technology (CGEIET) published a report on the energy consumption of digital technology in France. The study draws up an inventory of equipment and lists consumption, making an estimate of the total volume. The results are […]

52

Digital technologies: three major categories of risks

Lamiae Benhayoun, Institut Mines-Télécom Business School and Imed Boughzala, Institut Mines-Télécom Business School [divider style=”normal” top=”20″ bottom=”20″] [dropcap]T[/dropcap]o respond to an environment of technological disruption, companies are increasingly taking steps toward digital transformation or digitalization, with spending on such efforts expected to be USD 2 trillion in 2022. Digitalization reflects a profound, intentional restructuring of […]

53

High expectations for AI to ensure the security of new networks

As networks increasingly rely on new, primarily software-based architectures, the issue of security cannot be overlooked. Artificial intelligence is one field researchers are exploring to provide sufficient protection for these new networks, such as 5G (and beyond) and constrained networks such as the IoT. An approach explored in particular by cybersecurity researchers at IMT Lille […]

54

Joint AI: a platform to facilitate German-French research in AI

In 2019, The German-French Academy for the Industry of the Future launched the Joint AI platform project. This platform bringing together IMT and the Technical University of Munich, promotes collaboration between researchers and industry to develop artificial intelligence tools. Its secure environment allows for intellectual property protection for the results, and the reproducibility of scientific […]

55

How can industrial risk be assessed?

Safety is a key concern in the industrial sector. As such, studying risk represents a specialized field of research. Experiments in this area are particularly difficult to carry out, as they involve explosions and complicated measures. Frédéric Heymes, a researcher at IMT Mines Alès who specializes in industrial risk, discusses the unique aspects of this […]

56

What is a digital twin?

Digital twins, digital doubles – what exactly do these terms mean? Raksmey Phan, an engineer at the Mines Saint-Étienne Centre for Biomedical and Health Engineering (CIS)[1], talks to us about the advantages and advances offered by these new tools, as well as the issues involved.   What does a digital twin refer to? Raksmey Phan: […]

57

AiiNTENSE: AI for intensive care units

The start-up AiiNTENSE was incubated at IMT Starter and develops decision support tools for healthcare with the aim of advising intensive care personnel on the most appropriate therapeutic procedures. To this end, the start-up is developing a data platform of all diseases and conditions, which it has made available to researchers. It therefore seeks to […]

58

Meet your supply chain using virtual reality

Immersive technologies for industrial engineering and risk management? This is the focus of research to be carried out at the SIReN laboratory launched on 15 November, bringing together researchers from IMT Mines Albi (France) and Georgia Tech (USA). On the French side, Frédérick Benaben, an expert in collaborative networks, is already using virtual reality to […]

59

Why have girls been turning their backs on computer science?

Column written in partnership with The Conversation. By Chantal Morley from Institut Mines-Télécom Business School. [divider style=”normal” top=”20″ bottom=”20″] [dropcap]F[/dropcap]or an organizer of a careers fair or an engineering school open day, the gender-bias in digital professions is clear. Boys are far more likely than girls to flock to stands about computer science or other digital […]

60

MADEin4: digital twinning and predictive maintenance for industry

The European MADEin4 project was launched in April 2019 for a three-year period. It aims to help semiconductor manufacturers and equipment suppliers play an active role in the continuous improvement of their equipment. How? By relying on new digital twinning and predictive maintenance technologies. Agnès Roussy and Valéria Borodin, research professors at Mines Saint-Étienne, a […]