A powerful tsunami swept across the Pacific, but what a passing satellite captured in its wake has stunned scientists and ...

Terminal lucidity refers to a sudden return of mental clarity before death. Neurologists explain why the brain may show brief ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Effective protein characterization depends on the precise isolation and fragmentation of peptide ions within the mass spectrometer, typically coupled with liquid chromatography (LC-MS/MS). In a ...