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.
Visa merStartår
2023
Beviljade finansiering
Rollen i Finlands Akademis konsortium
Övriga parter i konsortiet
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