[HTML][HTML] 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 …
[HTML][HTML] 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 …
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 …
[HTML][HTML] Open-loop analog programmable electrochemical memory array
Emerging memories have been developed as new physical infrastructures for hosting neural
networks owing to their low-power analog computing characteristics. However, accurately …
networks owing to their low-power analog computing characteristics. However, accurately …
[HTML][HTML] 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
Recently, in‐sensor computing with individual sensors or multiple connected sensors
directly processing information has been proposed to improve energy, area, and time …
directly processing information has been proposed to improve energy, area, and time …
Semiconductor quantum dots for memories and neuromorphic computing systems
The continued growth in the demand of data storage and processing has spurred the
development of high-performance storage technologies and brain-inspired neuromorphic …
development of high-performance storage technologies and brain-inspired neuromorphic …
Large-area soft e-skin: The challenges beyond sensor designs
Sensory feedback from touch is critical for many tasks carried out by robots and humans,
such as grasping objects or identifying materials. Electronic skin (e-skin) is a crucial …
such as grasping objects or identifying materials. Electronic skin (e-skin) is a crucial …
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 …