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SERENITY-X – Accelerating AI

Project description

Speeding up high-energy experiments

Significant improvements proposed for current and new experiments at the Large Hadron Collider at CERN require advanced technology detectors. For this reason, the frontier project Novel Calorimetry is building a high-performance tracking calorimeter for the precise measurement of the energy of particles produced in high-energy collisions. However, the new calorimeter will result in an unprecedented amount of information that needs to be further elaborated. With this in mind, the EU-funded SERENITY-X project will design a novel state-of-the-art FPGA-based, digital platform (SERENITY) including machine learning to enable full applicability wherever high data rates or high-throughput appear. Positive verification of this new technological concept may benefit many other sectors, from health to security.

Objective

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.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-POC - Proof of Concept Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2020-PoC

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Host institution

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 150 000,00
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom

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Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Beneficiaries (1)

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