SERENITY-X | SERENITY-X – Accelerating AI

Summary
The ERC frontier project ADG-670406 develops a novel very high performance tracking calorimeter for the precise measurement of the energy of the particles produced in high-energy collisions. One of the key challenges that we have had to overcome is that of reading out the unprecedented quantity of information that such a calorimeter produces. To address this we have developed a novel, state-of-the-art FPGA based digital platform (SERENITY), including machine learning. We have developed a generic platform that has potentially very wide applicability wherever there are high data rates or high throughput. This PoC seeks to apply this technology in the wider context, from the health to security and fintech sectors.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/957524
Start date: 01-02-2021
End date: 31-01-2023
Total budget - Public funding: - 150 000,00 Euro
Cordis data

Original description

The ERC frontier project ADG-670406 develops a novel very high performance tracking calorimeter for the precise measurement of the energy of the particles produced in high-energy collisions. One of the key challenges that we have had to overcome is that of reading out the unprecedented quantity of information that such a calorimeter produces. To address this we have developed a novel, state-of-the-art FPGA based digital platform (SERENITY), including machine learning. We have developed a generic platform that has potentially very wide applicability wherever there are high data rates or high throughput. This PoC seeks to apply this technology in the wider context, from the health to security and fintech sectors.

Status

CLOSED

Call topic

ERC-2020-POC

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2020
ERC-2020-PoC