Developing an eScience technology platform

eStep

High performance computing Multi-scale & multi model simulations

LS Life Sciences PE Physical Sciences and Engineering PE6 Computer Science and Informatics

Enhancing multiscale computing with sensitivity analysis and uncertainty quantification

e-MUSC

Using point clouds to their full potential

Massive Point Clouds for eSciences

PE Physical Sciences and Engineering PE6 Computer Science and Informatics PE9 Universe Sciences

Self-learning machines hunt for explosions in the universe and speed up innovations in industry and...

CORTEX

Anomaly detection deep learning microscopy public-private partnership radio astronomy Tata Steel Thermo Fisher

PE Physical Sciences and Engineering PE6 Computer Science and Informatics PE6_7 Artificial intelligence, intelligent systems, natural language processing

Improving data training and computational efficiency for deep learning 

Efficient Deep Learning

Boosting the performance of current and future programs

A methodology and ecosystem for many-core programming

From theory to practice

Algorithmic Geo-visualization

Providing computing solutions for exascale challenges

PROCESS

LS Life Sciences PE6 Computer Science and Informatics

Integrating data publishing principles in scientific workflows

FAIR is as FAIR does

Programming tools that simplify application development and deployment

A Jungle Computing Approach to Large-Scale Online Forensic Analysis

Explainable AI Machine learning Predictive Maintenance Time Series

PE Physical Sciences and Engineering PE6 Computer Science and Informatics PE6_11 Machine learning, statistical data processing and applications using signal processing ( e.g. speech,image,video) PE6_7 Artificial intelligence, intelligent systems, natural language processing

Explainable AI For Predictive Maintenance

XAIPre

PE Physical Sciences and Engineering PE6 Computer Science and Informatics

All projects