EOLAB

Our research on SYNtzulu — our tiny, ultra-low-power Spiking Neural Network (SNN) accelerator — has been published in the IEEE Transactions on Circuits and Systems I! 🎉 For those who may not know, SYNtzulu is a neuromorphic processor specifically designed for real-time signal processing on highly constrained hardware. We managed to fit a dual-core SNN processor, a RISC-V softcore, I/O interface, and an entire signal processing pipeline into just 5k LUTs on the Lattice iCE40UP5K FPGA! It is no coincidence that SYNtzulu means mosquito in Sardinian, reflecting its lightweight design style. SYNtzulu operates at a remarkable 72 pJ per synapse, demonstrating new possibilities for ultra-efficient neuromorphic computing at the edge. Key results so far: - sEMG gesture classification at 1.7 mW - Single-lead arrhythmia classification at 1.5 mW - iEEG-based continuous hand force and velocity tracking at 9.9 mW Special thanks to EdgeAI and to the whole team: Paolo Meloni, Luca Martis, Matteo Scrugli, Paola Busia, Lorenzo Badas, and Luigi Raffo. None of this would have been possible without your hard work and collaboration! 👉 https://lnkd.in/dKNwceQj if you’re interested in the technical details. #SYNtzulu #neuromorphiccomputing #edgeAI #SNN #fpga #TCASI

Just got back home from the #EEAI2024 conference, coorganized by EdgeAI and other Chips Joint Undertaking and EU projects. We had the pleasure to host the event here in Cagliari. This was honestly very nice: 100+ smart and passionate researchers, sharing ideas about AI at-the-edge and beyond, which happened to be also very cool people. Thanks everybody for visiting, I hope that you have loved this shot of Sardinia. P.S. the week is not over. Tomorrow is for the thematic workshop by INSIDE Industry Association https://lnkd.in/d_dq_QsC

🌍 The European Conference on EDGE AI Technologies and Applications – EEAI 2024 is approaching! 📅 Date: 21-23 October 2024 📍 Location: Hotel Regina Margherita, Cagliari, Sardinia, Italy The EEAI conference is a leading European event for exploring the latest developments in edge AI technologies and applications. Participants will explore cutting-edge advancements across the full spectrum of edge AI, including hardware, software, algorithms, and frameworks. 🤝 Why Attend? Connect with leading academics, researchers, and industry practitioners. Discover the latest breakthroughs and discuss emerging research topics. Contribute to shaping the future of edge AI research and innovation. Organised by: The EdgeAI project, in collaboration with CLEVER-project, REBECCA KDT JU, TRISTAN, NeuroKit2E, LoLiPoP-IoT, SMARTY, ANDANTE-AI, AI4CSM. 🔗 Find out more and register here: https://lnkd.in/d6dnQmsY

🚀 Exciting News from H2TRAIN! 🚀 We're thrilled to announce the official launch of the H2TRAIN project, marked by our Kick-off Meeting in Gran Canaria, Spain, May 21-24, 2024.  🇪🇸 Funded by the European Union and led by The Institute for Applied Microelectronics, Univ. of Las Palmas de Gran Canaria. H2TRAIN is an innovation action, more precisely, a Joint Undertaking Innovation Action under the Horizon Europe Framework Programme, in the Non-Initiative (former KDT) of the Chips JU. The research and innovation in H2TRAIN address the enabling digital technologies in holistic health-lifestyle supported by artificial intelligence (AI) networks. H2TRAIN is focused on the major challenges and priorities of the Strategic Research and Innovation Agenda for the Electronic Components and Systems of the European industry: health and wellbeing and digital society. In H2TRAIN a number of advanced wearable devices and biosensors are integrated into textiles for monitoring physiological signals, including biomarkers. The physiological signals are pre-processed by AI on the edge, and by digital twins in the cloud while health or sport experts monitor the evolution of individuals. 🏊♀️ 🚴♀️👟🏥 👵 Thank you to all partners from across Europe: together we'll make a significant impact on the global wearable tech market! Curious to know more?  👉 Read the article in our website: https://lnkd.in/d47SA5nA 👉 Read the full issue to stay updated on the latest industry trends, research projects, and expert insights!: https://lnkd.in/d2vzs5W3 #H2TRAIN #FundedProject #WearableTech #HealthcareInnovation #SmartTextiles #EdgeAI #FitnessTech #RemoteHealthMonitoring #Innovation #ChipsJU 🇦🇹 🇩🇪 🇪🇦 🇮🇹 🇫🇮 🇫🇷 🇵🇱 Universidad de Las Palmas de Gran Canaria Silicon Austria Lab GmbH Ludwig Boltzmann Gesellschaft GmbH sanSirro GmbH Xtremion Technology Forschungsgesellschaft Mbh Studio Harmonie eU Deutsche Sporthochschule Koeln PANCO - Physikalische technik Anlagenentwicklung & COnsulting GmbH KOB GmbH Technische Universität Chemnitz Wearables Technology AG Smart Textile Hub GmbH Energiot Devices SL PONS IP, SA  Graphenea Semiconductor SL CIDETE SL Fundación Canaria Instituto de Investigación Sanitaria de Canarias Kubios Oy University of Eastern Finland ThingLink Ltd Myontec Ltd Haltian Ltd Valotec Thales Research & Technology Advanced Systems Technologies and User Services University Paris Cite St Microelectronics France Eurotech spa Consortium Ubiquitous Technologies Scarl Università degli Studi di Cagliari Khymeia srl Microsis srl University of Bari Aldo Moro DAC Digital Spolka  Siec Badawcza Lukasiewicz - Instytut Mikroelektroniki I Fotoniki