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144 search results for: "Artificial Intelligence"

61

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 […]

62

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: […]

63

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 […]

64

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 […]

65

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 […]

66

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 […]

67

CloudButton: Big Data in one click

Launched in January 2019 for a three-year period, the European H2020 project CloudButton seeks to democratize Big Data by drastically simplifying its programming model. To achieve this, the project relies on a new cloud service that frees the final customer from having to physically manage servers. Pierre Sutra, researcher at Télécom SudParis, one the CloudButton […]

68

Good in Tech: a chair to put responsibility and ethics into innovation

On September 12, the Good in Tech chair was launched with the aim of making digital innovations more responsible and ethical. The chair is supported by the Institut Mines-Télécom Business School, the School of Management and Innovation at Sciences Po, and the Fondation du Risque, in partnership with Télécom Paris and Télécom SudParis. This means […]

69

Light, a possible solution for a sustainable AI

Maurizio Filippone, Professor at EURECOM, Institut Mines-Télécom (IMT) [divider style=”normal” top=”20″ bottom=”20″] We are currently witnessing a rapidly growing adoption of artificial intelligence (AI) in our everyday lives, which has the potential to translate into a variety of societal changes, including improvements to economy, better living conditions, easier access to education, well-being, and entertainment. Such […]

70

Far from fantasy: the AI technologies which really affect us

Editorial “Artificial Intelligence”. It’s hard to define a technology which encompasses such a large variety of tools and techniques (centralized or decentralized approaches, supervised or unsupervised learning, ontologies, etc.), with ramifications in each of these categories, ranging from neural networks to autonomous agents. The scope of AI is both broad and rich. It would therefore […]