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Event-based LEarning, Vision, And conTrol for Embodied systems

Project description

Digital Ocean twin for preserving our oceans

The increasing frequency and severity of climate change-related effects on our ecosystems and environments, as well as the growing danger of climate disasters and catastrophes, have made the preservation, mitigation, and protection of our oceans crucial. The EU-funded EU-INTERCHANGE project will develop an innovative Digital Ocean twin encompassing ocean, wave, biogeochemistry, and nearshore models that will allow for monitoring and evaluating the impact of climate change throughout the Pan-Arctic and European regions. Further, the solution will utilise novel indicators to monitor marine ecosystem health, growth, and resilience. Specialised models will assess adaptation and mitigation solutions and strategies. Finally, a variety of other tools and databases will provide easy access to decision-making assistance and advanced monitoring tools.

Objective

Computing with neuromorphic hardware, learning with spiking neural networks, and sensing with event-based cameras are recent
examples of new technologies that have the potential of revolutionizing the learning and control capabilities of digital automation
and robotics. They offer a novel and unique opportunity to make machine intelligence more efficient, more embodied, and more
resilient.
Event-based technology will enable online learning over multiple temporal and spatial scales, sensors with embodied adaptive
intelligence, and improved translation of rhythmic features of animal intelligence in machines. Yet the discipline is still in its infancy
and technology lies ahead of methodology.
While the potential of event-based information processing has been researched separately in neuroscience, in algorithmic science,
and in electronic circuit design, the deployment of event-based machine intelligence across the broad spectrum of automation
technologies
requires a much higher level of integration. The sparse and asynchronous nature of event-based information impacts the design all
the way from the sensing and computing hardware to the perception and decision-making functionalities of the entire system.
The Doctoral network ELEVATE proposes to educate a new generation of information engineers able to address those challenges
through a unique environment combining leading international recognition in complementary scientific disciplines, a diverse range
of companies at the forefront of event-based technology, and a culture of machine design inspired by the challenge of further
digitalizing our societies with a focus on sustainability, security, and ethics.

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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.

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

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(opens in new window) HORIZON-MSCA-2024-DN-01

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Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN
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.

€ 865 620,00
Address
OUDE MARKT 13
3000 LEUVEN
Belgium

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Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven
Activity type
Higher or Secondary Education Establishments
Links
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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Participants (6)

Partners (14)

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