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Second Order Perovskite Memristor Chip for Neuromorphic Computing

CORDIS · observation · Publication date unknown

Second Order Perovskite Memristor Chip for Neuromorphic Computing The rising demand for complex computing in artificial intelligence (AI), machine learning, and data processing, presents a major energy challenge. In this regard, traditional silicon-based computing systems, based on the Von Neumann architecture, are becoming increasingly inefficient in terms of energy consumption. This makes it inevitable to find alternative solutions for developing noble energy efficient computing devices. Neuromorphic device which emulates the brain’s neural activities, offers a path to low energy computation. However, state-of-the-art neuromorphic devices mimic only first-order synaptic behavior, such as simple time-dependent plasticity. While the advancements are impressive, but these devices lack the ability to emulate more complex higher-order synaptic functions, such as multi-synaptic plasticity or history-dependent memory. These advanced functions are crucial for handling intricate tasks for example, dec

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recordType

award

status

SIGNED

region

EU

value

209914.56

unit

EUR