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Developing and demonstrating disruptive ultra-low-power Edge-AI systems

As the world witnesses the emergence of applications powered by Artificial Intelligence (AI) in almost every edge device, there is an urgent need for ultra-low-power (ULP) edge AI processors to offload the computing closer to the source of data generation to address the limitations (e.g., latency, bandwidth) of cloud or centralized computing.

This can only be realized if we can make edge AI processors at least 100 times more energy-efficient while offering sufficient flexibility and scalability to deal with AI, which is a fast-moving area.

SNS aims to achieve these targets by taking a holistic approach with innovations at all design stack levels to realize novel energy-efficient hardware with radically new brain-inspired concepts that equip edge AI processors with autonomous self-healing capabilities, compensating for external and internal disturbances.

Inspired by biological principles

Inspired by biological principles, Self-Healing Neuromorphic Systems (SNS) aims at developing and demonstrating disruptive ultra-low-power Edge-AI systems, enabled by:

  • novel (cross-layer) self-healing mechanisms, thus
  • enabling robust use of emerging device technologies and design styles.

Our mission is to design innovative hardware solutions tailored for next-generation Artificial Intelligence applications

Exploring the Full Computing Stack

To achieve this ambitious goal, SNS brings together a top Dutch consortium consisting of both academic and industry partners and enables synergy between five scientific and engineering disciplines, with machine learning taking inspiration from neuroscience for self-healing circuits and engineering disciplines such as electrical engineering and microelectronics device technology strongly interacting for system architecture and integration.

A new framework for self-healing and lifelong learning will be developed by CWI.

TU/e will research efficient mapping and compilers strategies for digital and mixed-signal designs, offering design space exploration trade-offs for unconventional architectures.

TUD, IMEC, and Innatera cover a large part of the design stack, from ULP circuits to systems and architectures focusing on new efficient ways for implementing online learning circuits.

We are an interdisciplinary team dedicated to advancing Neuromorphic Engineering—a cutting-edge field that draws inspiration from biology, physics, mathematics, computer science, and engineering.

Full Professor in Embedded System Architectures

Prof. Dr. Henk Corporaal (TU/e)

Prof. Dr. Henk Corporaal (TU/e) is Full Professor in Embedded System Architectures at the Eindhoven University of Technology (TU/e) in The Netherlands. He has gained a MSc in Theoretical Physics from the University of Groningen, and a PhD in Electrical Engineering, in the area of Computer Architecture, from Delft University of Technology

Prof. Dr. Henk Corporaal (TU/e) is Full Professor in Embedded System Architectures at the Eindhoven University of Technology (TU/e) in The Netherlands. He has gained a MSc in Theoretical Physics from the University of Groningen, and a PhD in Electrical Engineering, in the area of Computer Architecture, from Delft University of Technology. Corporaal has co-authored over 500 journal and conference papers. Furthermore he invented a new class of VLIW architectures, the Transport Triggered Architectures, which is used in several commercial products, and by many research groups. His research is on low power multi-processor, heterogenous processing architectures, their programmability, and the predictable design of soft- and hard real-time systems. This includes research and design of embedded system architectures, including CGRAs, SIMD, VLIW and GPUs, on accelerators, the exploitation of all kinds of parallelism, fault-tolerance, approximate computing, architectures for machine and deep learning, optimizations and mapping of deep learning networks, and the (semi-)automated mapping of applications to these architectures.
Chair Professor on Dependable and Emerging Computer Technologies

Prof. Dr. ir. Said Hamdioui (TUD)

Prof. Dr. ir. Said Hamdioui (TUD) is Chair Professor on Dependable and Emerging Computer Technologies, Head of the Quantum and Computer Engineering department, and also serving as Head of the Computer Engineering Laboratory (CE-Lab) of the Delft University of Technology, the Netherlands.

Prof. Dr. ir. Said Hamdioui (TUD) is Chair Professor on Dependable and Emerging Computer Technologies, Head of the Quantum and Computer Engineering department, and also serving as Head of the Computer Engineering Laboratory (CE-Lab) of the Delft University of Technology, the Netherlands. He is also co-founder and CEO of Cognitive-IC, a start-up focusing on hardware dependability solutions. He has more than 18 years of experience in design, test and reliability of ICs. He received a MSC in EE and PhD both with distinction from TUD. He is currently leading dependable and emerging computing technologies at the Computer Engineering Laboratory of the TUD.
Chair Professor on Dependable and Emerging Computer Technologies

Dr. ir. Mario Konijnenburg (IMEC)

Dr. ir. Mario Konijnenburg (IMEC) received an M.S. degree in electrical engineering from Delft University of Technology in The Netherlands in 1993. A Ph.D. degree was received from Delft University of Technology in 1999 on Automatic Test Pattern Generation for Sequential Circuits.

Dr. ir. Mario Konijnenburg (IMEC) received an M.S. degree in electrical engineering from Delft University of Technology in The Netherlands in 1993. A Ph.D. degree was received from Delft University of Technology in 1999 on Automatic Test Pattern Generation for Sequential Circuits. He joined Philips Research / NXP Semiconductors and worked on methodologies to improve testability of designs. Currently, he is chip architect and R&D manager of the IC-design group at IMEC in Eindhoven, The Netherlands, targeting chip research for bio-medical applications covering SoC design, sensors, stimulators, power, and (RF) communication.
Assistant Professor

Dr. Federico Corradi (TU/e)

Dr. Federico Corradi (TUE) is an Assistant Professor in the Electrical Engineering Department of the Eindhoven University of Technology, leading the Neuromorphic Edge Computing Systems Lab.

Dr. Federico Corradi (TUE) is an Assistant Professor in the Electrical Engineering Department of the Eindhoven University of Technology, leading the Neuromorphic Edge Computing Systems Lab. Dr. Corradi received a Ph.D. in Neuroinformatics and a Ph.D. from the Neuroscience Centre in Zurich in 2015. He was a Postgraduate at the Institute of Neuroinformatics in 2018. From 2015 to 2018, he was with IniLabs, developing neuromorphic event-based cameras. From 2018 till 2022, he was at IMEC, where he started ultra-low-power neuromorphic ICs design activities. His passion for research brought him back to academia while keeping strong ties with companies.
Assistant professor in the department of Quantum and Computer Engineering

Dr. Anteneh Gebregiorgis (TUD)

Dr. Anteneh Gebregiorgis (TUD) is an assistant professor in the department of Quantum and Computer Engineering, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, The Netherlands.

Dr. Anteneh Gebregiorgis (TUD) is an assistant professor in the department of Quantum and Computer Engineering, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, The Netherlands. From 2017 to 2018 he was a visiting scholar with the nanoelectronics research laboratory, Purdue University, where he was working on designing energy-efficient neuromorphic architectures. His current research focuses on reliable and energy-efficient system design for neuromorphic applications using emerging devices and unconventional computing paradigm.
Senior researcher

Dr Manolis Sifalakis (IMEC)

Dr Manolis Sifalakis (IMEC) is a senior researcher at IMEC-Netherlands, in the Neuromorphic and Hardware efficient AI group. He has computer science (Uni of Edinburgh, UK) and computing systems engineering (Tech Uni of Piraeus, Greece) formal background.

Dr Manolis Sifalakis (IMEC) is a senior researcher at IMEC-Netherlands, in the Neuromorphic and Hardware efficient AI group. He has computer science (Uni of Edinburgh, UK) and computing systems engineering (Tech Uni of Piraeus, Greece) formal background. He received his PhD degree in 2008 at the Uni of Lancaster (UK), in the topic adaptive and autonomic systems. In 2009 he worked as a post-doc at the Uni of Basel (CH), where he did pioneering research in distributed computing systems, dynamic scheduling algorithms, and chemical computing. In 2015 he joined IBM research (CH), where he worked on machine learning optimization and acceleration in cloud computing, and in natural language processing. Since 2018 he has been working at IMEC pioneering work on spiking neural networks (SNNs), neuromorphic sensing and sensor-fusion, and in general hardware-aware machine learning and deep learning, and has been contributing to architecting neuromorphic accelerators/co-processors.
UX Electrical Engineer

Dr. ir. Manil Dev Gomony (TU/e)

Dr. ir. Manil Dev Gomony (TU/e) received his PhD and Masters in Electrical Engineering from Eindhoven University of Technology in 2015 and Linkoping University in 2010, respectively.

Dr. ir. Manil Dev Gomony (TU/e) received his PhD and Masters in Electrical Engineering from Eindhoven University of Technology in 2015 and Linkoping University in 2010, respectively. He is an assistant professor at TU/e and a researcher at the Bell Laboratories of Alcatel Lucent. His research interests are confined to different aspects of embedded systems such as application-specific processors, ultra-low-power circuits, memory subsystems, scheduling algorithms, and embedded software.
Marketing

Dr. Amir Zjajo (Innatera)

Dr. Amir Zjajo (Innatera) is co-founder of Innatera Nanosystems B.V., and serves as its Chief Scientist.

Dr. Amir Zjajo (Innatera) is co-founder of Innatera Nanosystems B.V., and serves as its Chief Scientist. Prior to that, he was a member of research staff in the Mixed Signal Circuits and Systems Group at Philips Research Laboratories between 2000 and 2006, and subsequently, with Corporate Research at NXP Semiconductors until 2009. He joined the Delft University of Technology the same year, and was responsible for leading research into intelligent systems within a range of EU-funded research projects. He is the author of several books on circuits and systems, and he is the editor of Real-Time Multi-Chip Neural Network for Cognitive Systems (River Publishers, 2019). Dr. Zjajo has published more than 90 papers in referenced journals and conference proceedings in the areas of mixed-signal VLSI design, and biomedical and neuromorphic circuits and systems, and holds more than 20 patents or patent pending. He received the M.Sc. and DIC degrees from the Imperial College London, London, U.K., in 2000, and the PhD. degree from Eindhoven University of Technology, Eindhoven, The Netherlands in 2010, all in electrical engineering. His research interests include energy-efficient circuit and system design for on-chip machine learning and inference, and bionic electronic circuits for autonomous cognitive systems. Dr. Zjajo won best/excellence paper award at BioDevices’15 and LifeTech’19. He is a senior member of IEEE.
Ph.D. in Natural Science

Prof. Elisabetta Chicca (RUG)

Prof. Elisabetta Chicca (RUG) received a Ph.D. in Natural Science from the Swiss Federal Institute of Technology Zurich (ETHZ, Physics department) and in Neuroscience from the Neuroscience Center Zurich in 2006.

Prof. Elisabetta Chicca (RUG) received a Ph.D. in Natural Science from the Swiss Federal Institute of Technology Zurich (ETHZ, Physics department) and in Neuroscience from the Neuroscience Center Zurich in 2006. E. Chicca has carried out her research as a Postdoctoral fellow (2006-2010) and as a Group Leader (2010-2011) at the Institute of Neuroinformatics (University of Zurich and ETH Zurich) working on development of neuromorphic signal processing and sensory systems. Between 2011 and 2020 she lead the Neuromorphic Behaving Systems research group at Bielefeld University (Faculty of Technology and Cognitive Interaction Technology Center of Excellence, CITEC). In 2021 she joined the Zernike Institute for Advanced Materials at the University of Groningen as full professor and chair of Bio-Inspired Circuits and Systems. Her current interests are in the development of CMOS models of cortical circuits for brain-inspired computation, learning in spiking CMOS neural networks and memristive systems, bio-inspired sensing (vision, touch, olfaction, audition, active electrolocation) and motor control. She combines these research approaches with the aim of understanding neural computation by constructing behaving agents which can robustly operate in real-world environments. She is recipient of EU H2020 funding in various programs (ICT, MSCA, FETPROACT), NWO and DFG funding. E. Chicca contributed to the creation and launching of a new IOP journal (Nueromorphic Computing and Engineering) to promote multi-disciplinary publications in her field and futher supports the journal as Executive Editorial Board member.

A vibrant work culture that flows with creativity is our secret

Consortium members

We are backed by a consortium comprising trusted research centers, and coordinated by the Electronic Systems Group at TU/e.

This project is sponsored by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)

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