Ekkono Synthesis: Federated Learning for the Industrial IoT
Ekkono is pioneering Edge Intelligence, an Edge Machine Learning framework for sensor-sized devices, enabling smart IoT with federated learning for optimized performance in industrial sectors.
Projectdetails
Introduction
Ekkono is developing a unique product: Edge Intelligence, an Edge Machine Learning framework that conducts learning on super-small, sensor-sized devices, enabling a transition from ‘connected’ to ‘smart’.
Background
It is based on over 7 years of university research and is materially different from other AI solutions that either run in the cloud or can only perform inference onboard of connected things (IoT).
Product Features
Our product trains an individual model on each unit it runs on, learning how, where, and for what the unit is used—enabling per-device maintenance, performance, and optimization.
Market Focus
We are pioneering Edge AI in the emerging Industrial IoT 2.0, specializing in the European industrial manufacturing and automotive sectors.
Ambition
Our ambition is to disrupt the market with our Federated Learning solution, called Synthesis, where individual device models are:
- Collected
- Compared
- Correlated
- Combined into supermodels
This enables the next-gen sustainability leap and new service-centric business models for product OEMs.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.499.875 |
Totale projectbegroting | € 3.571.250 |
Tijdlijn
Startdatum | 1-5-2023 |
Einddatum | 30-6-2025 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- EKKONO SOLUTIONS ABpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
End to end Real-time Interactive Edge AI analytics platform for Industry and AutomotiveDeveloping an end-to-end edge AI platform for Industry and Automotive, enabling non-coders to create real-time AI models efficiently for faster market deployment. | EIC Accelerator | € 2.499.999 | 2022 | Details |
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 |
Leading the way to energy autonomous edge computingDeveloping ultra-low power semiconductor technologies to create an integrated IoT platform that harnesses ambient energy, reducing battery reliance and environmental impact. | EIC Accelerator | € 2.500.000 | 2023 | Details |
Scalable Unified Processor Enhancing Revolutionary Computing, Harnessing Integrated Performance for Edge AI, Autonomous Driving, Generative AI, and Decentralized AIoT ApplicationsDeveloping the Tyr chip to enable real-time, efficient processing for Level 4/5 autonomous driving, addressing current data and processing limitations in the industry. | EIC Accelerator | € 2.499.999 | 2023 | Details |
End to end Real-time Interactive Edge AI analytics platform for Industry and Automotive
Developing an end-to-end edge AI platform for Industry and Automotive, enabling non-coders to create real-time AI models efficiently for faster market deployment.
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.
Leading the way to energy autonomous edge computing
Developing ultra-low power semiconductor technologies to create an integrated IoT platform that harnesses ambient energy, reducing battery reliance and environmental impact.
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.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
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 |
E³MATEDit project ontwikkelt een slimme, energie-efficiënte Edge AI-oplossing voor realtime voorraadbeheer, gericht op het verbeteren van nauwkeurigheid en klanttevredenheid in de retailsector. | Mkb-innovati... | € 182.490 | 2023 | Details |
Synthetische Data GeneratorHet project ontwikkelt een automatische data generator voor synthetische data om AI-modellen in de agrarische en industriële sector te trainen, met als doel de efficiëntie en nauwkeurigheid te verbeteren. | Mkb-innovati... | € 176.050 | 2023 | Details |
SynvisHet project onderzoekt de marktbehoefte en technische haalbaarheid van generieke vision oplossingen met synthetische data voor de industrie. | Mkb-innovati... | € 19.120 | 2023 | Details |
Federated and distributed inference leveraging sensing and communication in the computing continuumThis project aims to develop a framework for federated and distributed inference systems that optimizes sensing data processing across edge and cloud environments, enhancing efficiency, security, and performance. | ERC Starting... | € 1.019.000 | 2023 | Details |
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.
E³MATE
Dit project ontwikkelt een slimme, energie-efficiënte Edge AI-oplossing voor realtime voorraadbeheer, gericht op het verbeteren van nauwkeurigheid en klanttevredenheid in de retailsector.
Synthetische Data Generator
Het project ontwikkelt een automatische data generator voor synthetische data om AI-modellen in de agrarische en industriële sector te trainen, met als doel de efficiëntie en nauwkeurigheid te verbeteren.
Synvis
Het project onderzoekt de marktbehoefte en technische haalbaarheid van generieke vision oplossingen met synthetische data voor de industrie.
Federated and distributed inference leveraging sensing and communication in the computing continuum
This project aims to develop a framework for federated and distributed inference systems that optimizes sensing data processing across edge and cloud environments, enhancing efficiency, security, and performance.