Project goal

The project has two threads, each investigating a unique use-case for the Micron Deep Learning Accelerator (a modular FPGA-based architecture). The first thread relates to the development of a real-time streaming machine inference engine prototype for the level-1 trigger of the CMS experiment.

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Emilio Meschi, Paola Sala, Maria Girone

Project coordinator

Project goal

This project is making use of expertise in artificial intelligence (AI) technologies at CERN to support a UN agency. Specifically, we are working on AI approaches to help improve object recognition in the satellite imagery created to support humanitarian interventions. Such satellite imagery plays a vital role in helping humanitarian organisations plan and coordinate responses to natural disasters, population migrations, and conflicts.

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Sofia Vallecorsa, Federico Carminati

Project coordinator

Project goal

The goal of this project is to adapt computing models and software to exploit fully the potential of GPUs. The project, which began in late 2018, consists of ten individual use cases. The project, which began in late 2018, consists of ten individual use cases.

The technical coordinators are follows:

Collaborators

Project background

Recent progress

Next steps