Exa4mind – Extreme Analytics for Mining Data spaces

Involving top talent from prestigious universities and research centres, small and medium-sized enterprises and industry, ten partners from six countries have joined forces to make EXA4MIND a reality and create a unique Extreme Data platform by 2026. With the series “Faces of EXA4MIND” we want to introduce the people who contribute to to achieving our ambitious goal: Building a platform for extreme data that enables advanced data analytics on supercomputers and automated data management with support for integration by design with EOSC and European data spaces.

Today we present Antonín Vobecký, PhD student at the Czech Technical University in Prague (CTU), and machine learning researcher of EXAMIND. ‘Together with the Valeo team -an industrial partner- we develop state-of-the-art computer vision and machine learning algorithms to analyse data from self-driving cars. In our research we work with different data modalities, for example with Lidar 3D scans, text and images’ .

When asked what makes this project special, he states the following: This project will really push the boundaries of how machines can automatically learn from large scale data in autonomous driving.”

Watch the full interview with Antonín Vobecký here and below.