Objetivo
The Internet of Things (IoT) is the up and coming growth engine for the global economy. But, IoT comes with a great challenge: tens of billions connected devices will generate an exabyte-level (1 exabyte = 1 billion gigabytes) amount of data each day, all of which needs to be processed and wirelessly transmitted in an energy efficient way.
This creates a large and untapped global business opportunity for technologies that could bring radical increase in digital computing energy efficiency, while simultaneously increasing the IoT computing capacity. Otherwise, the amount of generated data will overwhelm the current cloud computing centres. Energy efficiency is needed because the prospect of regularly changing batteries on tens of billions of devices is impractical and very costly, whereas hardwiring every IoT device is not feasible either.
Minima Processor Oy, a Finnish high-tech SME backed with €2,2 million seed investment, is introducing the next computing power revolution: Minima patented IoT microprocessor technology that reduces the energy need of digital computing by up to 20x compared to legacy solutions. Minima’s disruptive technology can enhance the performance of virtually any device that uses digital computing, thereby making batteries last up to 20 times longer, enabling advanced features, and making IoT devices cheaper to buy and operate.
Minima technology has broken world records in microprocessor energy efficiency. The objective of the Phase 2 project is disrupt the IoT market with our fundamentally new technology by finalising our hardware and software development, implementing next generation audio, video and deep learning techniques, and piloting our solution in 3 commercial applications.
Minima technology is the key to securing Europe’s leading position in the IoT microprocessor industry. Having already signed pre-commercial licensing agreements with industry leaders, we expect rapid market uptake within the first 5 years after the project.
Ámbito científico
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencessoftwaresoftware applicationssystem softwareoperating systems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarecomputer processors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEINST-2-2016-2017
Régimen de financiación
SME-2 - SME instrument phase 2Coordinador
90100 Oulu
Finlandia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.