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

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

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

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

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...

Age checks no longer stop at store counters or ticket booths. They now shape access to social media, online games, streaming services, and regulated products such as alcohol, tobacco, and gambling. In ...

Abstract: A new fault detection technique for power transformers using Walsh matrix analysis and a feedforward neural network is presented. Initially, Walsh coefficients are computed from the Walsh ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...