Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...

What started as openness is starting to look like a liability. Spotify says AI slop is flooding your music feed, and it’s rolling out a control to limit the damage. The company is testing a feature ...

In today’s artificial intelligence landscape dominated by large language models, multimodal AI systems, and billion-parameter architectures, it is easy to overlook the foundation that made modern deep ...

Abstract: Permanent magnet synchronous motor(PMSM) control system is a time-varying nonlinear system. To address the issue of poor tracking performance in control ...

Feedforward neural networks (FFNNs) constitute the foundational architecture underlying modern deep learning systems. This paper presents a comprehensive mathematical derivation of FFNNs, complete ...

Accurate three-dimensional acoustic impedance modeling in offshore clastic reservoirs remains a significant challenge due to sparse well control and the highly nonlinear relationship between seismic ...

Deep learning has added a new dimension to engineering applications, from 5G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes ...

Abstract: This paper proposes a feedforward compensation strategy based on Parallel GRU-Transformer neural network to address the issues of large tracking errors and insufficient stability of multi ...

The exploration of neural dynamics, inspired by the intricacies of brain functioning, has opened up new frontiers in the domains of control systems and computing. In recent years, neural dynamics has ...

The measurement of the mechanical properties of flow-formed products typically requires destructive testing, which may not always be feasible. To address this, the present study proposes a parametric ...

Artificial intelligence (AI) has emerged as a transformative force across industries, driven by advances in deep learning and natural language processing, and fueled by large-scale data and computing ...