A simple and clear explanation of stochastic depth — a powerful regularization technique that improves deep neural network ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

Does string theory—the controversial “theory of everything” from physics—tell us anything about consciousness and the human ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine ...

When a baby smiles at you, it's almost impossible not to smile back. This spontaneous reaction to a facial expression is part ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...