Data Sciences

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.