AI software based Material design for sustainable AI hardware (AI4AI)

Akronym

AI4AI

Bidragets beskrivning

Artificial Intelligence (AI) tasks on digital von Neumann hardware causes an unprecedented amount of data flow between memory and processor. This is seriously challenging the conventional computation hardware in terms of speed and power consumption. Therefore, biologically inspired neuromorphic computing systems based on emerging memory devices, which combine storage and processing, are emerging as a viable solution. However, sustainable material based hardware development is often time consuming and expensive. The AI4AI project aims towards an AI based material design strategy for developing neuromorphic AI hardware that will be capable of performing AI tasks while operating at an extremely low power consumption in the order of fJ/bit. The research will demonstrate development of new hardware to bring neuromorphic computing to a level where proof-of-concept system demonstrates an ultra-low power operation without compromising the computational speed, accuracy, or learning capacity.
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Startår

2023

Beviljade finansiering

Sayani Majumdar Orcid -palvelun logo
52 823 €


Rollen i Finlands Akademis konsortium

Övriga parter i konsortiet

Partner
Aalto-universitetet (352861)
256 131 €

Finansiär

Finlands Akademi

Typ av finansiering

Akademiprojekt med särskild inriktning

Övriga uppgifter

Finansieringsbeslutets nummer

352860

Vetenskapsområden

El-, automations- och telekommunikationsteknik, elektronik

Forskningsområden

Sähkötekniikka ja elektroniikka

Identifierade teman

robots, robotics