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 ...

Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the importance of different parts of the input sequence. This allows them to ...

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 ...

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...

Abstract: This paper describes the development of feedforward neural networks (FFNNs) for the inverse problem in the accurate air and iron-core inductors design. Utilizing the finite element method ...

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 ...

Artificial intelligence chip startup SiMa Technologies Inc. today announced it’s shipping its second-gen system-on-chip platform specifically designed for multimodal physical AI workloads. The new ...

ABSTRACT: Biogas is gaining prominence as a renewable energy source with significant potential to reduce greenhouse gas emissions and mitigate environmental impacts associated with fossil fuels. This ...