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TAS-E

THALES ALENIA SPACE ESPANA, SA
Country: Spain
35 Projects, page 1 of 7
  • Funder: European Commission Project Code: 101070374
    Overall Budget: 8,418,130 EURFunder Contribution: 8,416,880 EUR

    With the rise of deep learning (DL), our world braces for Artificial Intelligence (AI) in every edge device, creating an urgent need for edge-AI processing hardware. Unlike existing solutions, this hardware needs to support high throughput, reliable, and secure AI processing at ultra-low power (ULP), with a very short time to market. With its strong legacy in edge solutions and open processing platforms, the EU is ideally positioned to become the leader in this edge-AI market. However, certain roadblocks keep the EU from assuming this leadership role: Edge processors need to become 100x more energy efficient; Their complexity demands automated design with 10x design time reduction; They must be secure and reliable to get accepted; Finally, they should be flexible and powerful to support the DL domain. CONVOLVE addresses these roadblocks and thereby enables EU leadership in Edge-AI. To that end, it will take a holistic approach with innovations at all design stack levels, including: 1.ULP memristive circuits for computation-in-memory 2.Fast compositional design of System-on-Chips (SoC) 3.Transparent compilers supporting automated code optimizations and domain-specific languages 4.Rethinking DL models through dynamic neural networks, event-based execution, and sparsity 5.On-edge continuous learning for improved accuracy, self-healing, and reliable adaptation to non-stationary environments 6.Holistic integration in SoCs supporting secure execution with real-time guarantees The CONVOLVE consortium includes some of Europe's strongest research groups and industries, covering the whole design stack and value chain. In a community effort, we will demonstrate Edge-AI computing in real-life vision and audio domains. By combining these innovative ULP and fast design solutions, CONVOLVE will, for the first time, enable reliable, smart, and energy-efficient edge-AI devices at a rapid time-to-market and low cost, and as such open the road for EU leadership in edge-processing.

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  • Funder: European Commission Project Code: 621353
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  • Funder: European Commission Project Code: 101227584
    Funder Contribution: 4,014,770 EUR

    Humanity is presently at the brink of a new era in space development likely to irreversibly bind our daily lives to assets in orbit and beyond. Starting from the paradigm of 6G wireless networks that in the next decade will release cellular services from spaceborne base stations, a diverse range of sectors including energy, materials, nano, bio and pharma will extend activities into LEO orbit. Space is thus evolving into an ever-greater strategic priority for the European society, economy, security and sovereignty. Despite World-class capacities that Europe enjoys, present trends present substantial threats for the future. Current practice poses unviable burden on the terrestrial and orbital environments. Competition from established and emerging players threatens the European position, whilst ease of access is turning space into an increasingly contested domain. The vision of SPARE is to underpin Responsible Growth for space along three interconnected innovation objectives: - Sustainability: ensure space uses natural resources responsibly across terrestrial & orbital environments - Resilience: embed in space systems security, safety & robustness against technical failures and malicious acts - Competitiveness: create value proposition amid fast evolving industry, market & regulatory landscapes Adopting a broad perspective where engineering and technological innovation are intimately linked with the environment, regulation and the economy, SPARE delivers a World-class training programme addressing critical bottlenecks along the pathways to sustainable and resilient growth of the European space sector.

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  • Funder: European Commission Project Code: 295373
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  • Funder: European Commission Project Code: 332830
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