Neuromorphic materials designed atom by atom (neurAM)
Projektnummer
0071131
Zusammenfassung
Machine learning algorithms are readily employed, for example in pattern recognition. These algorithms draw inspiration from the brain. However, compared to computers, the brain can perform many cognitive tasks with a much higher efficiency. Consequently, computer architectures that emulate the function of synapses and neurons in the brain are a promising basis for more efficient and greener electronic devices. Yet, today's machine learning algorithms still rely on conventional computing hardware. Neuromorphic hardware that is designed for specific machine learning applications promise...
Projektinformationen
Status:
Durchführung
Startdatum:
01.08.2023
Enddatum:
30.09.2028
Fördersumme:
1.106.200 €
Profilbereich:
Exploration
Förderinitiative:
NEXT
Ausschreibung:
NEXT - Neuromorphic Computing (2023)