AI and Machine Learning experiences
- Elisa Cauhe (EGI.eu)
The impact of Artificial Intelligence (AI) and Machine Learning (ML) is shaping a new future where we will be able to create more competitive industries, more accuracy diagnosis and treatment on health, better understanding of the Earth for life sciences researchers or more efficient energy sources.
Europe wants and needs to get the potential of AI, not only as a consumer but also as a lead generator of tools and developments. Europe has a good position in R&D with strong computing infrastructures essentials to support the AI technology. It holds a world-leading position in robotics for manufacturing in different fields and services (from automotive to healthcare, energy, water management, agriculture or financial services) and it has developed multiple innovative and well connected networks of start-ups. In addition, the wide range of datasets from public and private sectors will contribute to boost this data driven digital transformation.
The session will present several AI and ML experiences in different fields related to the EGI communities. These experiences, combining research related and industry oriented, will give an overview of some of the applications of AI and how the computing infrastructures and data services support their execution.
Main target audience
Scientists, software developers, service providers.
The expected volume of data from the new generation of scientific facilities such as the Square Kilometre Array (SKA) has motivated the expanded use of semi-automatic and automatic machine learning algorithms for scientific discovery in astronomy. In this field, the robust and systematic use of machine learning faces a number of specific challenges including (1) a paucity of labelled data for...
This presentation will show results of two EU projects, notably PROCESS and ExaMode, where we work on large scale medical image analysis. The projects work on histopathology images that are increasingly becoming digital. These very large images (~100,000x100,000 pixels at 40x magnification) are produced in large quantities and require massive computational power for the development of machine...
The DIGITbrain project aims to enable customised industrial products and to facilitate cost-effective distributed and localised production for manufacturing SMEs, by means of leveraging edge-, cloud- and HPC-based modelling, simulation, optimisation, analytics, and machine learning tools and by means of augmenting the concept of digital twin with a memorising capacity towards recording the...