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

AI music generators are democratizing sound creation—cutting costs, boosting creativity, and helping anyone compose ...

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM models deliver more accurate solar radiation and energy output forecasts than ...

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

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...

The magic happens using the TinyML model I built, where I trained it on two weeks of data by exporting every timestamped ...

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

Abstract: Internet of Things (IoT) realizes the interconnection of heterogeneous devices by the technology of wireless and mobile communication. The data of target regions are collected by widely ...

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...

State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.