Project description
Unleashing AI potential with bio-mimicking magnetic neurons
In the realm of AI, challenges persist: limited data hampers mainstream solutions, while specialised expertise constrains predictive maintenance. The EIC-funded MAG.NET project aims to address this problem through the imitation of biological neural spiking. By mimicking biological neurons through innovative magnetisation studies, the project pioneers magnetic neural networks for real-time speech recognition and predictive tasks. With its task-agnostic, energy efficient design, the MAG.NET solution not only revolutionises manufacturing maintenance but also lays the groundwork for a greener, privacy-conscious AI future. This innovation, inspired by the mammalian ear, transforms audio into spikes, fostering a new realm of possibilities. MAG.NET’s synergy with the EIC Transition call will propel this venture, driving technology readiness and sustainability hand in hand.
Objective
Golana Computing is a new start-up company, spin-off from Spintec-CNRS, exploiting a recent scientific and technological breakthrough in the design and fabrication of bio-mimicking magnetic neurons.
Breakthrough: Studying new magnetization reversal schemes, we have inadvertently discovered that domain wall depinning from geometrical traps imitates in many regards the spiking of biological neurons. Based on this, we designed, fabricated and tested magnetic neurons able to complete bio-mimicking tasks. Our magnetic neural network performs speech recognition and speaker identification in real-time, without any prior feature extraction. The audio is simply transformed into spikes by a mechanism inspired from the mammalian ear.
Our Goal is to develop a technology and fabricate a prototype that extends this unique ability to other types of analog signals, and apply it for predictive maintenance in the manufacturing industry. The present solutions based on mainstream artificial intelligence (AI) struggle, because the problems at hand are too fragmented: the training data is too scarce and the model engineering relies on very specific expert knowledge.
Our Solution, frugal in terms of data and resources, based on a task-agnostic generic device, is able to identify unusual patterns in the analog signals. Our bio-mimicking approach should imitate the ability of human technicians, which assess the state of their machines by the sound. On the long term, our technology could be adapted for a variety of AI applications requiring low energy consumption or full privacy.
The EIC Transition call corresponds exactly to our present needs: accelerate the development and the market readiness of our technology. Moreover, we address explicitly the requirements for Green Digital Devices. By working on the edge, our device reduces the energy and resources required for data transfer and, by imitating the biological neurons, it also reduces the energy required for the computation.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering analogue electronics
- natural sciences computer and information sciences artificial intelligence computational intelligence
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
See all projects funded under this programme
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-EIC - HORIZON EIC Grants
See all projects funded under this funding scheme
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-EIC-2022-TRANSITION-01
See all projects funded under this callCoordinator
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.
38000 Grenoble
France
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.