Researchers from the University of California, Los Angeles (UCLA) have developed a chemical imaging system that combines high-performance terahertz time-domain spectroscopy with advanced deep learning ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

Explore the parallels and differences between AI architectures and the human brain's design and functionality in processing ...

A research team at Space Park Leicester has launched a new commercial service designed to help organisations develop and deploy artificial intelligence systems for use in space missions at lower cost ...

Borosilicate glass offers extreme stability; Microsoft’s accelerated aging experiments suggest the data would be stable for ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Abstract: Deep learning (DL) has been widely applied in wireless communications to address diverse challenges, such as beam management, positioning, and channel state information (CSI) feedback.

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...

This academic seminar series explores a broad range of topics such as data science, urban planning and urban networks and ...