In this article, we analyze algorithmic ways to reduce the arithmetic complexity of calculating quaternion-valued linear convolution and also synthesize a new algorithm for calculating this ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Most dynamical models introduced in the past were linear ... with a multisection neural network architecture and training approach." The researchers trained their RNN-based model using a four-step ...

The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...

Deep learning approaches have improved anomaly detection but lack interpretability. We propose an explainable anomaly detection (XAD) framework using a sparse non-linear vector autoregressive network ...

This Research Topic is a part of the 'Advancing Neural Network-Based Intelligent Algorithms in Robotics: Challenges, Solutions, and Future Perspectives' series. Building upon the success of the first ...