Project description
An AI approach to sustainable low-power computing
The growing demand for AI is leading to increased energy consumption, which poses significant environmental challenges. Traditional computing architectures can consume large amounts of power. Hence, there is a need for more sustainable alternatives that can handle AI tasks without compromising performance. This is essential for a future where technology and the environment coexist harmoniously. With this in mind, the EU-funded ENERGIZE project will create neuromorphic hardware using 2D materials to make AI more energy-efficient and seek to improve artificial neural networks. ENERGIZE will also enhance chiplet-based in-memory computing, allowing for more efficient processing. Through collaboration between European and Korean researchers, ENERGIZE will transform the landscape of low-power edge computing while promoting AI development.
Objective
ENERGIZE aims to implement novel neuromorphic hardware based on two-dimensional (2D) materials for energy efficient artificial intelligence (AI). This technological breakthrough will be sustained on memristive, ferroelectric and floating gate two- and three-terminal devices based on 2D materials. ENERGIZE seeks to enhance the hardware for the implementation of artificial neural networks through chiplet-based multi-core in-memory computing technologies, providing also guidelines for evaluating and benchmarking 2D devices and circuits. ENERGIZE will be conducted by interconnected research integrating partners of Europe and Korea, accelerating the advancement of neuromorphic technology.
ENERGIZE will demonstrate: wafer-scale growth of 2D materials for neuromorphic devices, reliable fabrication and characterization processes of two- and three-terminal devices, development of arrays of 2D devices compatible with existing technologies, efficient inference and training of neural networks in crossbar arrays and standardized benchmarking methods for neuromorphic devices and circuits.
ENERGIZE offers a promising way to set a new paradigm in low-power edge computing, departing from conventional large energy consumption and high environmental impact von Neumann CMOS AI hardware. ENERGIZE aims to achieve substantial progress in the design, material growth, fabrication, integration, and characterization of neuromorphic devices, arrays, circuits, and systems, which will be key in the future of edge AI computing. We will contribute to guiding an ethically sensitive design by integrating social sciences and humanities by consulting.
ENERGIZE will stimulate the emergence of a European Korean collaborative network for responsible neuromorphic 2D material-based hardware. This integrated approach is a blueprint that will transform societies and economies of the future and will help Europe and Korea to enhance their position in chip technology for AI and machine learning applications.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.2 - Key Digital Technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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.
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.
HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-JU-Chips-2024-3-RIA
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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.
52074 Aachen
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.