SubsidieMeestersAlways-On Intelligent Sensing with the Spiking Neural Processor
Innatera's Spiking Neural Processor enables energy-efficient, real-time pattern recognition for battery-powered devices, enhancing performance and reducing development time for application-specific solutions.
Projectdetails
Introduction
Over the last 5 years, the number of devices equipped with sensors has grown exponentially, reaching 4 billion per year. In battery-powered devices such as phones, smartwatches, wireless earphones, and video doorbells, energy-efficient processing of the complex, continuous data coming out of multiple sensors is a critical problem.
Company Overview
Innatera is a trailblazing semiconductor spin-off of the TU Delft and is bringing to the market neural processors. Our Spiking Neural Processor (SNP) is inspired by the way neurons function in our brain, using a neural network with an inherent notion of time.
Technology and Applications
At the sensor edge, SNP can deliver always-on pattern recognition functionalities in power and latency-sensitive applications via an innovative programmable architecture.
Key Benefits
- Enables application-specific customers to implement immediately ready-to-use high-performance pattern recognition.
- Delivers market-leading differentiation with faster time-to-market.
- Reduces development effort.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.494.275 |
| Totale projectbegroting | € 3.563.250 |
Tijdlijn
| Startdatum | 1-5-2023 |
| Einddatum | 30-4-2025 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- INNATERA NANOSYSTEMS BVpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
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AI-centric Server on Chip for increasing complexity and scale of AI inference applications, enabling the scale of real-life AI applications.NeuReality aims to finalize and validate its NR1 Server-on-a-Chip solution to enable scalable AI deployment through optimized architecture and infrastructure for commercial use. | EIC Accelerator | € 2.500.000 | 2023 | Details |
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A novel hardware & software platform to revolutionise artificial intelligence at the edgeDeveloping a scalable hardware and software platform for efficient edge AI inference, targeting computer vision and NLP, to drive adoption with reduced costs and power consumption. | EIC Accelerator | € 2.499.999 | 2024 | Details |
Scaling Minima ultra-low energy computing technology to make intelligent wireless devices energy efficientMinima develops ultra-low energy microprocessors to enhance the efficiency of wireless devices, aiming to transform the €6.3 billion semiconductor market by 2035. | EIC Accelerator | € 2.448.250 | 2022 | Details |
Scalable Unified Processor Enhancing Revolutionary Computing, Harnessing Integrated Performance for Edge AI, Autonomous Driving, Generative AI, and Decentralized AIoT Applications
Developing the Tyr chip to enable real-time, efficient processing for Level 4/5 autonomous driving, addressing current data and processing limitations in the industry.
AI-centric Server on Chip for increasing complexity and scale of AI inference applications, enabling the scale of real-life AI applications.
NeuReality aims to finalize and validate its NR1 Server-on-a-Chip solution to enable scalable AI deployment through optimized architecture and infrastructure for commercial use.
Europe’s first unified and versatile processing platform architecture in 5nm technology with proven scalability from edge to central high-performance solutions with unmatched cost and power efficiency
videantis aims to develop a scalable 5nm processor architecture for automotive and AI applications, enhancing European chip sovereignty and reducing costs for OEMs by up to 90%.
A novel hardware & software platform to revolutionise artificial intelligence at the edge
Developing a scalable hardware and software platform for efficient edge AI inference, targeting computer vision and NLP, to drive adoption with reduced costs and power consumption.
Scaling Minima ultra-low energy computing technology to make intelligent wireless devices energy efficient
Minima develops ultra-low energy microprocessors to enhance the efficiency of wireless devices, aiming to transform the €6.3 billion semiconductor market by 2035.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
SPIKING PHOTONIC-ELECTRONIC IC FOR QUICK AND EFFICIENT PROCESSINGSPIKEPro aims to develop an integrated neuromorphic chip combining electrical and photonic neurons to create efficient, high-speed spiking neural networks for diverse applications. | EIC Pathfinder | € 1.973.038 | 2024 | 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 |
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 |
Stochastic Spiking Wireless Multimodal Sensory SystemsSWIMS aims to revolutionize smart wireless multimodal sensory systems through bio-inspired neuromorphic designs, achieving over 100x energy efficiency for future IoT applications. | ERC Synergy ... | € 13.525.608 | 2024 | Details |
Perovskite Spiking Neurons for Intelligent NetworksThis project aims to develop compact perovskite-based devices that emulate neuron behavior for efficient spiking neural networks, enhancing perception and computation while reducing energy costs. | ERC Advanced... | € 2.498.004 | 2023 | Details |
SPIKING PHOTONIC-ELECTRONIC IC FOR QUICK AND EFFICIENT PROCESSING
SPIKEPro aims to develop an integrated neuromorphic chip combining electrical and photonic neurons to create efficient, high-speed spiking neural networks for diverse applications.
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.
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.
Stochastic Spiking Wireless Multimodal Sensory Systems
SWIMS aims to revolutionize smart wireless multimodal sensory systems through bio-inspired neuromorphic designs, achieving over 100x energy efficiency for future IoT applications.
Perovskite Spiking Neurons for Intelligent Networks
This project aims to develop compact perovskite-based devices that emulate neuron behavior for efficient spiking neural networks, enhancing perception and computation while reducing energy costs.