Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
Frontiers

Optimizing quantum convolutional neural network architectures for arbitrary data dimension

Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis. This approach is ...
IEEE

Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection

Abstract: Effective detection and classification of forest fire imagery are critical for timely and efficient wildfire management. Convolutional Neural Networks (CNNs) have demonstrated potential in ...
Frontiers

Classification of arteriovenous fistula sounds using a convolutional block attention module and long short-term memory neural network

1 School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, China 2 Department of Nephrology, People’s Hospital of Zhengzhou University, Zhengzhou, China The assessment of vascular ...
SiliconANGLE

Halcyon nabs $100M to block ransomware with capsule neural networks

Halcyon Tech Inc., a startup using capsule neural networks to fend off ransomware attacks, today announced that it has closed a $100 million Series C round. Evolution Equity Partners led the ...
Oak Ridge National Lab

Assessing the Feasibility of Bordered Block Diagonal Reordering in Power System Matrices using Fully Convolutional Network

In electromagnetic transient (EMT) simulations for power systems and inverter-based resources (IBRs), the arrangement of states within the system's linear equations, represented by matrix A in Ax=b, ...