
Automate the discovery of anomalous behaviour with unsupervised anomaly detection
Unsupervised anomaly detection makes it possible to automate tasks relating to the maintenance of equipment and infrastructure, which until now

Unsupervised anomaly detection makes it possible to automate tasks relating to the maintenance of equipment and infrastructure, which until now

In today’s world, whether we are interacting with AI systems for the first time or the hundredth, these tools are

What is Augmented Reality? Augmented Reality (AR) is the superimposition of digital information within the user’s environment in real time.

Software development increasingly relies on continuous integration and deployment (CI/CD) processes. At Berger-Levrault, dozens of software applications, comprising thousands of

Introduction This study outlines the process for migrating a project from IBM Operational Decision Manager (ODM) to Drools, offering a

In the constantly evolving field of the Internet of Things, BL.Predict is continually striving to push back the boundaries to

In the fascinating field of artificial intelligence, an important discipline is emerging: “Prompt Engineering“. In a time where machines possess

Gabriel Darbord started his Ph.D. two years ago in the Evref team at Inria, a joint project team with Berger-Levrault,

In the world of programming, creating efficient and functional software is a top priority, but it’s not just about writing

Predictive maintenance, coupled with the Internet of Things (IoT) and Artificial Intelligence (AI), represents a revolutionary approach to equipment maintenance.
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