Improving the quality of large volumes of data, reducing the volume, developing browsing, analysis and visualisation methods for large data sets as well as assessment methods to measure the effectiveness and usability of these visualizations etc. – Inria’s project teams draw on their expertise at the forefront of the data economy to provide input for HPDA (High Performance Data Analytics), which can accelerate artificial intelligence applications.
With potential applications in high-performance simulation, health data analytics, predictive finance, journalism fact-checking and the digital humanities, Inria’s research and innovation framework for data sciences is designed to incorporate strong interdisciplinary collaboration to foster the development of original solutions which are perfectly aligned with the needs identified in each sector. It also draws on leading software (such as Scikit Learn), and is a natural breeding ground for a number of technological start-ups.
Startups from Inria
This startup is focused on the repositioning of drugs and food supplements on new uses (or polypharmacology) and uses computer simulations for this purpose.
This startup founded by Margot Corréard and Jean-Francois Bouin calculates the probability of malfunctions in industrial infrastructures. The predictive maintenance tools developed aim at preventing breakdowns and accidents, but also at optimizing maintenance strategies.