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Hardware implementation of memristor-based artificial neural networks
Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in …
techniques, which rely on networks of connected simple computing units operating in …
Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications
Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …
Ferroelectric gating of two-dimensional semiconductors for the integration of steep-slope logic and neuromorphic devices
The co-integration of logic switches and neuromorphic functions could be used to create
new computing architectures with low power consumption and novel functionalities. Two …
new computing architectures with low power consumption and novel functionalities. Two …
Hands-on reservoir computing: a tutorial for practical implementation
This manuscript serves a specific purpose: to give readers from fields such as material
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …
Memristive crossbar arrays for storage and computing applications
The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …
MXene‐ZnO memristor for multimodal in‐sensor computing
In‐memory vector‐matrix multiplication in monolithic complementary metal–oxide–semiconductor‐memristor integrated circuits: design choices, challenges, and …
The low communication bandwidth between memory and processing units in conventional
von Neumann machines does not support the requirements of emerging applications that …
von Neumann machines does not support the requirements of emerging applications that …
Concealable physically unclonable function chip with a memristor array
A physically unclonable function (PUF) is a creditable and lightweight solution to the mistrust
in billions of Internet of Things devices. Because of this remarkable importance, PUF need to …
in billions of Internet of Things devices. Because of this remarkable importance, PUF need to …