French research in Artificial Intelligence (AI) is recognized internationally for its scientific output.
Paradoxically, the number of visible and accessible software from French computer labs remains quite low.
An amazing finding!
Research, like computer science, promotes collaboration, sharing and sharing.
The tools and computer resources of a community of computer scientists is one of their major productions.
However, few codes are shared and shared. AI researchers spend a lot of their time programming from scratch.
We often redefine what has already been developed by others.
Researchers do not have the time to take the step and convert their research prototypes. They often have to move towards new projects financed in the short term, without being able to value what has been developed.
Thus, the transition from an experimental system that allows for experiments and publications to an accessible software tool, documented and usable by others, is often left behind.
This finding is also due to short-term project funding, lack of engineers and laboratory infrastructure.
French researchers and laboratories would benefit from valuing the tools they develop. They would thus contribute to national and international visibility and visibility.
Similarly, the referencing and provision of tools developed by AI researchers could benefit different scientific communities, the world of higher education and businesses of all sizes.
Inspired by the academic research project such as the MultiTal project carried out within INALCO’s ERTIM laboratory, PostLab is the collaborative laboratory of Artificial Intelligence (AI).
Il vise à partager, mutualiser et valoriser les outils développés dans les laboratoires d’IA avec pour objectif de simplifier l’accès et l’utilisation de ces logiciels.
Travailler en synergie avec les organismes de valorisation des laboratoires permet d’une part, d’accélérer le travail des chercheurs en IA, d’accroître leur visibilité et le rayonnement de leurs laboratoires; et d’autre part, de faciliter l’utilisation d’outils d’IA pour les chercheurs, scientifiques et enseignants d’autres disciplines.
The Technology Readiness Level (TRL) scale defines the maturity level of a technology. From the simple idea to the experimental proof then from the demonstrator to the final and marketable product.
Levels 4 to 7 represent the transition from experimental laboratory evidence to validation in a real-world environment. These essential steps to transmit innovation to industry and society are often risky and expensive to overcome. This is why we call this path the “valley of death”.
The problem is present in AI research. Indeed, very little software developed in the laboratory benefits the industry and society.
This is where PostLab comes in to increase the TRL of software and bring it as far up the ladder as possible. PostLab assists AI laboratories in providing their software and assists users in choosing the most relevant software for their needs.
PostLab’s ambition is to lower the entry barrier of AI to bring the greatest number of natural intelligence researchers in artificial intelligence.