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Vibe coding, the practice of rapidly developing solutions with the support of generative AI, is increasingly adopted in industrial environments. However, its execution speed often reveals weaknesses in decision-making rather than technical limitations. Drawing on industrial field experience, this article analyzes why two-hour sessions succeed or fail, depending on the clarity of the framing, the presence of decision-makers, and the explicitness of business rules. It highlights the benefits, limits, and necessary conditions required to transform a rapid prototype into an operational deliverable.
This article examines how to deploy artificial intelligence solutions in constrained industrial environments without compromising data confidentiality. It argues that the main risk does not lie in Artificial Intelligence itself, but in the absence of a prior clarification of the real constraints: critical data exposure, contractual obligations, information system architecture, budget, and available expertise. Through concrete examples and a practical decision framework, it proposes a pragmatic method for selecting solutions that remain coherent, well-controlled, and sustainable over time.
Today, most of the engineering study objects are complex concepts with various fields of expertise, too broad to be understood in their entirety by one person. They are represented by models including human expertise, digital simulation and more and more often, artificial intelligence (AI).Digital twins emerge in this context. They are the hub of technologies of digital simulation of complex, multi-scale and multi-resolution physical phenomena. They allow a co-construction of the study object by one or more humans.
Additive Manufacturing (AM) has grown considerably in recent years. The gradual transition from prototyping activities to direct manufacturing of functional parts undermines traditional methods of design and manufacturing based on conventional methods. This article focuses on the different AM technologies and fields of use throughout product life cycles. Various industrial applications are described through examples from the advanced technology sector.
As a typical response to regulatory or commercial requirements, traceability has become a vector for improving performance in a digital transformation context. The new Industry 4.0 technologies are based on leveraging data collected and historized by industrial traceability.Will the 2020 health crisis stop or accelerate this transformation? How to monitor operations or assist shifts in home-working ? Does the digital twin allow to operate the factory in "automatic" or remotely operated mode.9 recommendations are described in this paper to help the companies rethinking the plant of tomorrow, secured, efficient and responsible.
This article discusses the development of corporate environmental civil liability, whose is a corporate’s obligation to repair ecological damage. It shows the conditions under which this liability can be engaged. Currently this is essentially present in national law. This is an administrative police in European Union law. International law is still quite timid for the time being. Recognition of the due diligence makes it possible to envisage an increase in the corporate's environmental civil liability at all levels. A civil liability is emerging in the context of climate change.
The development of digital tools has allowed the deployment of concurrent engineering, and minimized the needs for prototypes, thereby reducing time-to-market.Competitiveness now requires companies to better integrate the needs of all business functions, from manufacturing to after-sales, in the process of design and evolution of their products. Computer applications, previously structured in silos, must move on to a global, holistic approach to reach the performance required. The objective of product life-cycle management (PLM) is to improve the overall process of product development in the company, with strong supplier involvement.
In 2008 Satoshi Nakamoto defined a new model of currencies. The issuance and management of such a currency take place on a peer-to-peer network without central control. Bitcoin is the first cryptographic currency created on this model. It exists since January 2009.As the 7000 other crypto-currencies of the same type created in its wake, it works through what is called a blockchain. This shared file and collectively controlled file by a peer-to-peer network can be used for many other purposes. Many applications are developed and implemented gradually, especially in the world of banking and finance.
Cloud Computing allows businesses and individuals to deploy data and applications among external infrastructures, leased when needed, and released when useless. It is possible thanks to the ubiquitous network and to virtual machines techniques, made available by the performances of modern microprocessors. This dissemination of data lessens data losses risks, but creates new risks related to privacy and data corruption. And there are "black clouds", used by cybercrime organisations.
Microrobotics is a field that is growing significantly. Technologies are now mature enough to be used in a wide range of application fields, such as biology or industry, which require handling small-size biological or artificial objects. This paper highlights how microrobotics enables us to reach performance levels beyond what can be achieved with classical technologies. In particular, smaller objects can be handled, with higher frequencies and with greater precision. This paper briefly reviews the most common manipulation techniques, either with contact, such as those using grippers, or without contact such as those using remote force fields. It also provides an overview of the application fields of microrobotics.
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