The LSTM networks have high performance in solving the vanishing gradient problem that is observed in recurrent neural networks ... of the proposed state activation functions-based LSTM classifiers ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

Specifically, it is shown that the output of a recurrent neural network, in the context of classification problems, coincides with the evolution of the population state in a population game. This ...

Our cells rely on microscopic highways and specialized protein vehicles to move everything—from positioning organelles to carting protein instructions to disposing of cellular garbage. These highways ...

The complex interactions between the nervous and immune systems are pivotal in both health and disease, but the cellular and molecular mechanisms underlying ...

Neurons deep in the brain not only help to initiate movement—they also actively suppress it, and with astonishing precision. This is the conclusion of a new study by researchers at the University of ...

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...