Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...
Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...
Abstract: For the first time, we utilize artificial neural networks to achieve the inverse design of silicon-based interlayer coupling structures. By implementing data preprocessing and migration ...
Abstract: Due to their synaptic-like characteristics and memory properties, memristors are often used in neuromorphic circuits, particularly neural network circuits. However, most of the existing ...
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