SubsidieMeestersHybrid Spintronic Synapses for Neuromorphic Computing
Spin-Ion Technologies aims to develop neuromorphic chips using ion beam-engineered magnetic materials, bridging computational neuroscience and deep learning for efficient embedded systems.
Projectdetails
Introduction
At Spin-Ion Technologies, we develop a new manufacturing solution based on ion beam processes to precisely engineer magnetic materials at the atomic scale. This result enables the development of new neuromorphic chips based on low power synapses composed of magnetic devices that can overcome both catastrophic forgetting and reduce device variability. Hence, it greatly advances the development of highly efficient, robust hardware amenable to neural applications on the edge.
Project Overview
Our transition project involves both hardware and software developments to demonstrate the implementation of an Artificial Neural Network on a magnetic chip. This will bridge computational neuroscience and deep learning while generating a strong impact for future embedded and neuromorphic systems.
Commercial Readiness
This project also covers all necessary steps for full commercial readiness, including:
- Problem/solution validation
- Market research
- Competition analysis
- Establishing IP strategy
- Ensuring regulatory compliance
- Stakeholder engagements
- Dissemination activities
- Construction of a detailed business plan
- Securing future funding
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.499.998 |
| Totale projectbegroting | € 2.499.998 |
Tijdlijn
| Startdatum | 1-5-2023 |
| Einddatum | 31-10-2025 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- SPIN-ION TECHNOLOGIESpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Transition
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Magnetic neural Network for predictive maintenanceGolana Computing aims to develop bio-mimicking magnetic neurons for real-time analog signal analysis, enhancing predictive maintenance in manufacturing while minimizing energy consumption. | EIC Transition | € 2.499.999 | 2023 | Details |
SpiNNaker on the EdgeSpiNNcloud Systems aims to develop real-time, energy-efficient AI applications by transitioning cutting-edge neuromorphic computing technology from cloud to edge, enhancing performance and commercialization. | EIC Transition | € 2.499.998 | 2023 | Details |
Magnetic neural Network for predictive maintenance
Golana Computing aims to develop bio-mimicking magnetic neurons for real-time analog signal analysis, enhancing predictive maintenance in manufacturing while minimizing energy consumption.
SpiNNaker on the Edge
SpiNNcloud Systems aims to develop real-time, energy-efficient AI applications by transitioning cutting-edge neuromorphic computing technology from cloud to edge, enhancing performance and commercialization.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Metaplastic Spintronics SynapsesMETASPIN aims to develop low-power spintronic artificial synapses with metaplasticity to prevent catastrophic forgetting in AI, integrating this technology into an ANN for multitask learning applications. | EIC Pathfinder | € 2.999.750 | 2023 | Details |
Coherent Spintronic Networks for Neuromorphic ComputingCOSPIN aims to develop and validate a novel all-spintronic neuromorphic computing network using spin waves for enhanced connectivity, reprogrammability, and efficiency in data processing tasks. | ERC Starting... | € 1.499.072 | 2022 | Details |
Solid-State Ionics Synaptic Transistors for Neuromorphic ComputingTRANSIONICS aims to develop stable, silicon-compatible solid-state synaptic transistors for neuromorphic computing, enhancing AI applications while ensuring scalability and integration with existing technology. | ERC Proof of... | € 150.000 | 2022 | Details |
n-ary spintronics-based edge computing co-processor for artificial intelligenceMultiSpin.AI aims to revolutionize edge computing by developing a neuromorphic AI co-processor that enhances energy efficiency and processing speed, enabling transformative applications while reducing CO2 emissions. | EIC Pathfinder | € 3.143.276 | 2024 | Details |
Memristive Neurons and Synapses for Neuromorphic Edge ComputingMEMRINESS aims to develop compact, power-efficient Spiking Neural Networks using memristive technology for enhanced collaborative learning on edge systems. | ERC Starting... | € 1.499.488 | 2022 | Details |
Metaplastic Spintronics Synapses
METASPIN aims to develop low-power spintronic artificial synapses with metaplasticity to prevent catastrophic forgetting in AI, integrating this technology into an ANN for multitask learning applications.
Coherent Spintronic Networks for Neuromorphic Computing
COSPIN aims to develop and validate a novel all-spintronic neuromorphic computing network using spin waves for enhanced connectivity, reprogrammability, and efficiency in data processing tasks.
Solid-State Ionics Synaptic Transistors for Neuromorphic Computing
TRANSIONICS aims to develop stable, silicon-compatible solid-state synaptic transistors for neuromorphic computing, enhancing AI applications while ensuring scalability and integration with existing technology.
n-ary spintronics-based edge computing co-processor for artificial intelligence
MultiSpin.AI aims to revolutionize edge computing by developing a neuromorphic AI co-processor that enhances energy efficiency and processing speed, enabling transformative applications while reducing CO2 emissions.
Memristive Neurons and Synapses for Neuromorphic Edge Computing
MEMRINESS aims to develop compact, power-efficient Spiking Neural Networks using memristive technology for enhanced collaborative learning on edge systems.