A new class of intelligent hardware for low-power, high-performance AI
SkyANN brings brain-like intelligence to the edge—fast, frugal, and secure
Why SkyANN? A paradigm shift in AI hardware
From lab to device: how skyrmions, magneto-electric interfaces, and brain-inspired logic redefine neuromorphic computing
WHO WE ARE
At the frontier of Neuromorphic computing
SkyANN brings together a multidisciplinary consortium of leading European research institutions and industrial innovators. From skyrmionics and magneto-electric materials to semiconductor design and neuromorphic architectures, our partners span the entire stack of next-generation AI hardware. We operate across scientific, technological, and industrial domains to accelerate the transfer of breakthrough discoveries into scalable, low power electronics for real-world applications.
Reimagining Neural hardware
At SkyANN, we develop artificial neural networks built not from software, but from physical phenomena. Our approach uses skyrmionic quasiparticles to emulate the behavior of synapses and neurons at the nanoscale. By integrating these magneto-electric devices with CMOS electronics, we create neuromorphic chips that operate with 10,000× less energy and twice the bandwidth of traditional AI hardware. This is computing made for the edge—private, fast, scalable, and radically efficient.
WHAT DO WE DO
Pioneering the future of low power AI chips
times lower target consumption
bandwith as target objective
What we do
At SkyANN, we develop artificial neural networks built not from software, but from physical phenomena. Our approach uses skyrmionic quasiparticles to emulate the behavior of synapses and neurons at the nanoscale. By integrating these magneto-electric devices with CMOS electronics, we aim to create neuromorphic chips that operate with 10,000× less energy and twice the bandwidth of traditional AI hardware. This is computing made for the edge—private, fast, scalable, and radically efficient.
How we do it
We design and prototype advanced semiconductor devices that enable ultra-efficient artificial intelligence. Through innovations in neuromorphic computing, skyrmionic data carriers, and energy-aware architecture, we are pushing the limits of what chips can do. SkyANN is not only building a working hardware prototype of a deep neural network—it’s laying the technological groundwork for Europe's next leap in AI hardware, aligned with the EU Green Deal and the Chips Act.
CONSORTIUM PARTNER
A European alliance for neuromorphic innovation
The SkyANN consortium is carefully balanced, its members span all the necessary technical competences and fields of research for this project and have access to infrastructure that exceeds standards. The project is built on leading expertise and strong prior collaborative links between partners. This long-standing collaboration has led to groundbreaking research and key publications that are foundational for SkyANN
Our Work
Plans and Projects
Beratung für Data Science
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The Brain Engineering
Neural Engineering
Electrical Signals in the Brain
Systems Neuroscience
Machine Learning
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Neural Threads
Target Discovery
Neural Technology
Cognitive Neuroscience
Project timeline: milestones & deliverables
Charting a neuromorphic future: the roadmap of SkyANN
1st January 2024
Project Kick-Off
12th and 13th February 2024
Official Kick-Off Meeting in Manchester/UK
31st March 2024
SkyANN Visual Kit available \ Project Management Handbook delivered
30th June 2024
Risk Registry agreed \ Initial Data Management Plan ready
19th November 2024
SkyANN Advanced Dissemination, Communication and Exploitation Plan in place
27th February 2025
1-day Brain-Inspired Computing Workshop—Atoms to Bits: The Alphabet of Intelligence @ University of Manchester
5th March 2025
Fabrication of tailored MML samples
30th June 2025
Decision on the best promising MML systems for hosting skyrmions and one additional information carrier for prototype devices in WP2-3
30th June 2025
Validation of compact model of novel neuromorphic building block, the skyrmionic interconnect
1st August 2025
Design and simulations of demultiplexing devices
New age of skyrmion research
Electrical Signals
Biological Evaluation
Nature-Centered Design
*Beratung für Data Science
Funded by the European Union. Views and opinions expressed are, however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
© 2025 SkyANN etc..


