Characteristics and Advantages of the Xingpu Large Model The Xingpu large model was created by a high-quality team of experts, gathering talent from top institutions such as Oxford University, ...

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even clearer. Both LSTM and GRU demonstrated lower forecast errors than DFM and ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

United States scientists have combined spatial and temporal attention mechanisms to develop a new approach for PV inverter ...

However, the background of OpenAI's birth is far more complex than a mere technological breakthrough. At that time, the fierce competition between Google and Meta for AI talent led to profound ...

Recently, the research team led by Prof. LI Hai at the Institute of Health and Medical Technology, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a novel ...

Innovative U-Net model redesign with depthwise separable convolutions achieves high-accuracy human activity recognition on ...

Summary: A new AI framework can detect neurological disorders by analyzing speech with over 90% accuracy. The model, called CTCAIT, captures subtle patterns in voice that may indicate early symptoms ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

A research team has developed an advanced deep learning model, LKNet, to improve the accuracy of rice panicle counting in dense crop canopies.