SubsidieMeestersScaling 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.
Projectdetails
Introduction
The number of wireless devices is growing rapidly. Today, there are 30 billion wireless devices in circulation, like our smartphones. However, by 2035, there will be 1 trillion of these wireless devices in circulation.
Energy Efficiency Challenges
Nearly each of these devices has a brain called a microprocessor. Unlike brains, their energy efficiency leaves a lot to be desired. This is why Minima exists. We make microprocessors consume radically less energy using our ultra-low computing technology. This makes wireless intelligent devices energy efficient.
Patented Technology
Our patented technology consists of hardware and software components that are directly integrated into microprocessors prior to manufacturing. This enhances the performance and energy efficiency of wireless devices that power the Internet of Everything, which are often tasked with collecting and analyzing data directly at the source.
Market Impact
This allows us to enter the €6.3 billion semiconductor market and change the market’s energy consumption from the inside out.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.448.250 |
| Totale projectbegroting | € 3.497.500 |
Tijdlijn
| Startdatum | 1-1-2022 |
| Einddatum | 31-12-2023 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- MINIMA PROCESSOR OYpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Intelligent power management integrated circuits for a greener, more efficient Internet of ThingsDeveloping an Intelligent Power-Management Integrated Circuit (IPMIC) to reduce energy consumption in IoT devices by 50-99%, enhancing performance and sustainability while minimizing battery reliance. | EIC Accelerator | € 2.486.750 | 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 |
The World’s Smallest Power ConvertersLotus's Power Interposer Technology enables ultra-small, energy-efficient converters for mobile devices, enhancing performance and design flexibility while maintaining CMOS compatibility. | EIC Accelerator | € 2.261.783 | 2022 | Details |
Ultra-High Speed memories for unprecedented cloud-computing performanceXenergic aims to revolutionize SRAM design for IoT and high-performance applications, achieving up to 90% energy savings and 3x speed, while seeking EIC Accelerator investment for market readiness. | EIC Accelerator | € 2.499.999 | 2022 | Details |
Secure and Efficient Chipset for Uninterrupted Reliable Connectivity in EuropeLast Mile Semiconductor is developing a low-cost, ultra-low-power wireless chipset for IoT that combines 5G and Bluetooth efficiency, enabling long-range connectivity and supporting Europe's digital sovereignty and sustainability. | EIC Accelerator | € 2.493.313 | 2024 | Details |
Intelligent power management integrated circuits for a greener, more efficient Internet of Things
Developing an Intelligent Power-Management Integrated Circuit (IPMIC) to reduce energy consumption in IoT devices by 50-99%, enhancing performance and sustainability while minimizing battery reliance.
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.
The World’s Smallest Power Converters
Lotus's Power Interposer Technology enables ultra-small, energy-efficient converters for mobile devices, enhancing performance and design flexibility while maintaining CMOS compatibility.
Ultra-High Speed memories for unprecedented cloud-computing performance
Xenergic aims to revolutionize SRAM design for IoT and high-performance applications, achieving up to 90% energy savings and 3x speed, while seeking EIC Accelerator investment for market readiness.
Secure and Efficient Chipset for Uninterrupted Reliable Connectivity in Europe
Last Mile Semiconductor is developing a low-cost, ultra-low-power wireless chipset for IoT that combines 5G and Bluetooth efficiency, enabling long-range connectivity and supporting Europe's digital sovereignty and sustainability.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Green SELf-Powered NEuromorphic Processing EnGines with Integrated VisuAl and FuNCtional SEnsingELEGANCE aims to develop eco-friendly, light-operated processing technology for energy-efficient IoT applications, utilizing sustainable materials to minimize electronic waste and environmental impact. | EIC Pathfinder | € 3.100.934 | 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 |
ANalogue In-Memory computing with Advanced device TEchnologyThe project aims to develop closed-loop in-memory computing (CL-IMC) technology to significantly reduce energy consumption in data processing while maintaining high computational efficiency. | ERC Advanced... | € 2.498.868 | 2023 | Details |
Ultralow-power logic-in-memory devices based on ferroelectric two-dimensional electron gasesUPLIFT aims to develop a non-volatile, ultralow power logic-in-memory component using ferroelectric materials to reduce power consumption in microelectronics, supporting a new start-up for commercialization. | ERC Proof of... | € 150.000 | 2023 | Details |
Heterogeneous integration of imprecise memory devices to enable learning from a very small volume of noisy dataThe DIVERSE project aims to develop energy-efficient cognitive computing inspired by insect nervous systems, utilizing low-endurance resistive memories for real-time decision-making in noisy environments. | ERC Consolid... | € 2.874.335 | 2022 | Details |
Green SELf-Powered NEuromorphic Processing EnGines with Integrated VisuAl and FuNCtional SEnsing
ELEGANCE aims to develop eco-friendly, light-operated processing technology for energy-efficient IoT applications, utilizing sustainable materials to minimize electronic waste and environmental impact.
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.
ANalogue In-Memory computing with Advanced device TEchnology
The project aims to develop closed-loop in-memory computing (CL-IMC) technology to significantly reduce energy consumption in data processing while maintaining high computational efficiency.
Ultralow-power logic-in-memory devices based on ferroelectric two-dimensional electron gases
UPLIFT aims to develop a non-volatile, ultralow power logic-in-memory component using ferroelectric materials to reduce power consumption in microelectronics, supporting a new start-up for commercialization.
Heterogeneous integration of imprecise memory devices to enable learning from a very small volume of noisy data
The DIVERSE project aims to develop energy-efficient cognitive computing inspired by insect nervous systems, utilizing low-endurance resistive memories for real-time decision-making in noisy environments.