This year, Shiyuan Co., Ltd. has newly obtained 290 patent authorizations, a decrease of 40.57% compared to the same period last year. According to the company's mid-2025 financial data, in the first ...

CNNs vs. transformers; selecting a package; IoT education; managing design data; containerized workloads for automotive; ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

Japanese carrier SoftBank has developed a new AI architecture using a Transformer model for radio access networks (RAN), the ...

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...

With this bat-inspired technology, the potential to locate more survivors the next time an earthquake or wildfire strikes could increase dramatically. The research team believes this system could ...

PV module fault diagnosis uses convolutional neural network Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies.