Order in chaos: 2-dimensional materials for higher-complexity neuromorphic computation

Description of the granted funding

For future applications such as IoT, we need to process a huge amount of data in which our normal computers are not very efficient. One of the best solutions is to imitate human brain and make new type of computers. Neuromorphic computers will be far more superior to conventional computers in data processing efficiency and speed. For instance, these computers will consume 100000 times less power than our normal computers. At Microelectronics Research Unit, University of Oulu, we contribute on advancement of neuromorphic computers by introducing a new class of materials. We will fabricate a reservoir computing (RC) system based on 2-Dimensional materials. And examine its potential and optimize its performance for pattern recognition. RC is a unique data processing technology and building a single material-based RC with high efficiency will be a key advance for neuromorphic computing.
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Starting year

2023

End year

2027

Granted funding

Seyed Hosseini Shokouh Orcid -palvelun logo
607 642 €

Funder

Research Council of Finland

Funding instrument

Academy research fellows

Other information

Funding decision number

357170

Fields of science

Materials engineering

Research fields

Funktionaaliset materiaalit, puolijohteet

Identified topics

artificial intelligence, machine learning