GENESIS, backed by Horizon Europe, aims to make semiconductor manufacturing sustainable, aligning with the European Green Deal, by minimizing environmental impact with eco-friendly innovations. [Objectives] GENESIS aims to replace harmful materials with safer options, improve waste management, and enhance the use and recyclability of scarce materials. [Innovations] GENESIS introduces innovations in three key areas: • Innovative materials: PFAS-free polymer and eco-friendly gas alternatives complying with EU regulations. • Waste & emissions monitoring: Cutting-edge sensors detect hazardous substances for efficient aqueous and gas waste elimination, reducing environmental and health risks. • Scarce material management: New integration technologies optimize material usage and initiate recycling of scarce materials like Gallium, Niobium, and silicon carbide. [Methodology] GENESIS employs four technical work packages to research sustainable material substitution, emission reduction, and resource management. This modular approach promotes scalability and integration with existing processes, fostering a circular economy in the semiconductor sector. Supervised by management work packages, it quantifies environmental efficiency and engages in dissemination to promote European technological achievements [Outcomes] The project targets a 50% cut in hazardous materials, 30% decrease in emissions and waste, and improved scarce material recyclability, boosting EU semiconductor sustainability and global competitiveness. [Impact] GENESIS supports EU's tech sovereignty and resilience through accurate monitoring and sustainable practices. It positions Europe as a leader in sustainable semiconductor tech, setting new standards for impact-oriented communication and dissemination.

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.