Explore our projects & studies
Explore our projects & studies
From Artificial Intelligence to Human-Computer Interaction and Software Architecture, our research team tackles complex problems across many domains. We seek at providing the best of modern technology for public services, health-care and industry.
Balancing the satisfaction of stakeholders in home health care coordination: a novel OptaPlanner CSP model
As part of the development of the innovative BL.Optim solution, we questioned the concept of route optimization for home health care coordination. We are pleased to inform you that this research and innovation work has recently resulted in a scientific publication in the journal Health Systems, that brings together critical
Simulation and analysis of disruptive events on BL.Optim-HHCRSP solution
The world demographic trend will be driven by a significant increase in the number of people over 60 years of age (60% increase in the next 40 years), with a life expectancy that is expected to rise. In this context, the demand of home-based support for independent elderly people is
BL.Formation: helping HR managers aggregating similar requests to build the municipalities’ training plan
The goal of BL.Formation Each year, territorial agents can claim training courses and their managers can also ask for trainings for the department. In medium to large municipalities, these requests are sent to the training managers in the HR department. There can be a significant amount of training requests to
Neolink: Lifelong pathway co-construction
While personal coach applications are now ubiquitous, personal lifelong pathway co-construction is largely overlooked, although present for e-learning, healthcare, return to employment, home-care of elders, etc. Modeling generic lifelong pathway co-construction is feasible since these situations share many properties. We contribute to the problematics with a generic model for the
Beginning of maintenance 4.0 project at SIAAP
SIAAP, the public reference for wastewater treatment in the Ile-de-France region, embarked in 2016 on the design of a long-term strategic plan: SIAAP 2030. It aims to implement a medium-term conditional and predictive maintenance strategy. Among the challenges pursued: improving the maintenance of its industrial equipment, in particular the real-time
Solving optimization problem through the Domain-Specific Language based businesse rules modeler
BL.Optim is a research project of Berger-Levrault about planning management through optimization algorithm. However, the “constraints description” part in BL.Optim is supported by an API, which is extremely difficult to use to express new constraints. We want to replace the constraint descriptor by using a language more or less expressive,
Berger-Levrault and CNRS sign a strategic partnership
We have been working for many years with the CNRS. Dozens of CIFRE theses and collaboration contracts have enabled us to explore a very wide range of potential in the fields of artificial intelligence, sustainable cities, advanced human-machine interaction, automatic language processing, etc. This relationship, which is dear to us,
Active learning for intelligent document processing
Data is a key component of decision making. Today, companies deploy complex processes to automate the collection, storage and processing of large amounts of data. Most of this data is in the form of unstructured documents. Berger-Levrault’s software solutions handle documents of various natures: invoices, forms, etc. Unfortunately, this unstructured
What are Emergent Software Systems about?
Nowadays, due to the constant evolution of the software systems’ operating environment, modern software systems become increasingly complex and larger which makes their management and evolution difficult for a development team. These challenges pushed the IT (Information Technology) community to develop solutions that aim to assign the responsibilities of adaptation
BL.Assistant: Towards an Human-AI Teaming Platform
There is no excerpt because this is a protected post.
