The proposed eXaplainable autoencoder PINN (XA-PINN) algorithm provides a deeper understanding of the decision-making process of microwave absorption frequency bandwidth classification.

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

The AI-assisted, plug-in hybrid system will improve efficiency to extend the usage of both the engine and the battery pack.

Development of an autoencoder-based algorithm for fault detection in rotary machines is presented in this paper. As the cornerstone of any machine learning model, feature engineering is thoroughly ...

Artificial Intelligence News. Everything on AI including futuristic robots with artificial intelligence, computer models of human intelligence and more.

Figure 1. Main algorithm structures. (a) An autoencoder is trained to produce a time series from 1 to 100 percent of a gait cycle (e.g., the within-stride metabolic cost time series according to ...

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machine-learning deep-learning point-cloud neural-networks dynamical-systems manifold-learning dimension-reduction geometric-algorithms topological-data-analysis variational-autoencoder ...