In 2025, as short videos and digital art continue to thrive, a Chinese AI tool, Kling AI, is reshaping the content creation ...

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG signal decoding, while an innovative generative AI ...

Abstract: Image reconstruction-based methods with autoencoder have been widely used for unsupervised anomaly detection. By training the reconstruction on normal ...

Abstract: Deep learning models perform remarkably well on many classification tasks recently. The superior performance of deep neural networks relies on the large number of training data, which at the ...