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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:

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