Neuromorphic Edge Computing Systems Lab

  • AddressShow on map

    Department of Electrical Engineering, Flux, room 4.130

    5612 AP Eindhoven


Organisation profile

Introduction / mission

The Neuromorphic Edge Computing Systems Lab strives to create computing algorithms, circuits, systems, and architectures for emerging applications and a more sustainable computing scenario.

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Our long-term research goal is to enable intelligence inside our microchips by designing neuromorphic circuits and systems that mimic the brain's fundamental information processing strategies for solving challenging real-world problems.

Organisational profile

We aim to build brain-inspired machine intelligence devices. We address the problem of machine intelligence across the whole computing stack, from new models of computation down to hardware. We take inspiration from the brain's efficiency, and we research neural-inspired models of computation that are massively parallel, compute on-demand, and benefit from emerging nano- and microelectronics technologies to develop new disruptive neuromorphic computing systems.

The specific research activities in the NECS Lab focus on embedding intelligence in edge devices in the form of adaptability, robustness, long-life and online learning, intent, and explainability. We research performance optimization and energy tradeoffs for specific machine intelligence tasks by co-design algorithms and hardware. We develop complementary metal-oxide-semiconductor (CMOS) Very Large Scale Integrated (VLSI) neuromorphic devices with in-memory and near-memory computing abilities to replicate bio-realistic spiking neural networks interconnected with learning synapses.


Emerging applications in brain-computer interfaces, health monitoring, intelligent robotics, and the internet-of-things require increasing computing power in tiny chips that need to work with as little energy as possible and need to process increasingly more data. Using traditional performance scaling methods, scaling at the lowest levels of the hardware as the microelectronic industry has been doing in the last decades, we can still improve, but not enough. In the long term, to go beyond the limits of physical scaling, we need to research disruptive technology solutions together with new models of computation.

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy


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