
Making Large Numbers Count: Cognitively Informed Alternatives to Log-Scale Bar Charts
From carbon emissions to national budgets, we’re frequently asked to interpret values that span from thousands to millions and billions.

From carbon emissions to national budgets, we’re frequently asked to interpret values that span from thousands to millions and billions.

This research is the result of a collaboration between Ali Can Kocabiyikoglu, Pascal Zaragoza, and Vincent Laval, part of the

Adherence to legal mandates is crucial for businesses, as failure to comply can lead to substantial penalties. In an environment

Introduction In a context where the automation of data workflows has become a fundamental pillar of project reliability and scalability,

In the critical domain of Computerized Maintenance Management Systems (CMMS), solutions like CARL Source empower businesses to efficiently create, schedule,

Keywords: Synthetic Data, Retrieval-Augmented Generation (RAG), Small Language Models (7B LLM), Large Language Models (LLM like GPT-4o or GPT4.5), Model

Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the

In his previous article, Romain explored the theoretical foundations and methods dedicated to the automatic evaluation of artificial intelligence systems,

Research at Berger-Levrault is tackling a new frontier in artificial intelligence: that of (partially) autonomous agents capable of reasoning, planning,

BL.Optim: A cutting-edge but static planning optimization tool BL.Optim is our optimization engine for routing and scheduling, used to generate
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