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Accelerating Research on Neuromorphic Perception, Action, and Cognition |
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See more neuromorphic engineering videos here
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In the News
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Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?
EE Times Current, 10 August 2025
Professor Gert Cauwenberghs has been working toward building brain-scale systems for decades. At the University of California San Diego, he’s now one of the leaders of the Neuromorphic Commons hub, also known as Thor, which will give the wider community access
to neuromorphic hardware and simulators...
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The Rise of Neuromorphic
Computing: How Brain-Inspired AI is Shaping the Future in 2025
AI News Hub, 7 August 2025
Neuromorphic computing, an innovative AI paradigm mimicking the human brain’s neural architecture, is poised to redefine technology in 2025. With the global AI market projected to reach $4.8 trillion by 2033, neuromorphic systems offer energy-efficient, low-latency
solutions critical for edge AI, robotics, and IoT. In China, the New Generation Artificial Intelligence Plan and startups like SynSense are driving…
SpiNNcloud
Sells Neuromorphic Supercomputer For Drug Discovery
EE Times, 28 July 2025
Neuromorphic hardware startup SpiNNcloud has sold a supercomputer based on its chips to the University of Leipzig, where it will be used for drug discovery. The 4320-chip system is based on the second generation of SpNNaker brain-inspired hardware, commercialized
by SpiNNcloud. The new multi-million-Euro system at the University of Leipzig will simulate protein folding for research into personalized medicine….
What
is meant by Neuromorphic Computing – A webinar debate
IOP Publishing, 24 July 2025
There are two main approaches to what we consider neuromorphic computing. The first involves emulating biological neural processing systems through the physics of computation of computational substrates that have similar properties and constraints as real neural
systems, with potential for denser structures and advantages in energy cost. The other simulates neural processing systems on scalable…
How
can neuromorphic devices be harnessed in edge AI computing?
EE World Online, 23 July 2025
Neuromorphic computing, which mimics the human brain’s architecture and function, can be leveraged in edge computing to improve power efficiency, speed, and adaptability. By processing data locally and using event-driven computation, neuromorphic chips can
optimize resource usage in edge AI applications, reducing reliance on centralized cloud processing….
Memristors
go mainstream: brain-inspired hardware could cut AI’s energy costs
Ingenia, 12 July 2025
Professor Themis Prodromakis designs neuromorphic AI hardware that takes cues from the brain. Aside from slashing AI’s energy use, it could also make for smarter spacecraft and brain-computer interfaces. AI’s energy costs are skyrocketing. In April 2025, the
International Energy Agency (IEA), which monitors the world’s energy use, forecasted that electricity demand from datacentres will double to…
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Events
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August 2025
September 2025
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2 September - 3 September |
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TU Delft Prometheusplein 1, Delft, Netherlands |
We are excited to announce Neuromorphic Computing Netherlands 2025 (NCN2025), a one-day symposium bringing together researchers and professionals working on the future of brain-inspired computing. 🗓 Date: September 19, 2025 📍 Location: Auditorium, TU Delft Continue
readingNeuromorphic
Computing Netherlands (NCN2025)→
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24 September - 26 September |
We are delighted to welcome you to the Neuromorphic Symposium 2025, co-organized by Spin-Ion Technologies and NYU Paris. This international event will bring together researchers, engineers, and industry experts to Continue
readingNeuromorphic
Symposium 2025→
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Welcome to the fourth MemrisTec Summer School which is covering the topics of the research programme Memristive Devices Toward Smart Technical Systems. Memristors are nanoelectric devices capable of storage and computation. Continue
readingMemrisTec
Summer School 2025→
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29 September - 30 September |
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Goethe University Max-Horkheimer-Straße 4, Frankfurt am Main, Germany |
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Goethe University Max-Horkheimer-Straße 4, Frankfurt am Main, Germany |
Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned Continue
readingBernstein
Conference→
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Resources and Tools
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SuperNeuro
Oak Ridge National Laboratory
description: SuperNeuro is a neuromorphic simulator for Spiking Neural Networks. It has two modes of operation: SuperNeuroMAT - fast and easy to use, using matrix computation to simulate networks of LIF neurons; SuperNeuroABM - uses Agent-Based Modeling
for heterogenous network simulation...
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Lava-peripherals
Lava-nc
An open-sourced library that adds support for peripheral devices such as cameras or robotic actuators. It enables users to develop neuro-inspired applications and map them to neuromorphic hardware...
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Lava-dnf
Lava-nc
A library within the Lava software framework. lava-dnf provides processes and other software infrastructure to build architectures composed of Dynamic Neural Fields (DNFs)...
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Neuromorphic World Map
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Check out and add yourself to our neuromorphic world map here. |
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