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 ...

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 ...

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 ...

Short-form learning platform Seekho has raised $28 million in Series B funding to expand into new categories, launch an ...

According to reports, the benefits brought by pre-trained large models based on the Transformer architecture are diminishing due to limitations in data and computational power. So, how can the ...

Benjamin Rosman, founding director of the Wits University Machine Intelligence and Neural Discovery (Mind) Institute, has ...

Vijay Mehta, Experian’s Executive Vice President and General Manager of Global Solutions and Analytics, is a transformational ...

As industries become increasingly dependent on sensor-driven data, the complexity of real-time monitoring, fault detection, and operational stability ...

Deepseek, as a powerful large model, excels in text understanding, image recognition, and time-series data analysis. By combining Deepseek with other multi-modal large models, this patent aims to ...

A research team has developed a new artificial intelligence (AI) model that harnesses unmanned aerial vehicle (UAV) data to ...