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Photonic Quantum CNN Achieves High Accuracy With Adaptive Light Control

In a study published in Advanced Photonics, researchers at SPIE introduced a method to enhance photonic circuit adaptability ...

Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
Tech Xplore

Visualizing the internal structure behind AI decision-making

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Adaptive method helps light-based quantum processors act more like neural networks

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
IEEE

DSNet: Dynamic Stitchable Neural Network for Hyperspectral Image Classification

Abstract: Hyperspectral image classification (HSIC) aims to identify land-cover categories by leveraging the spectral and spatial information contained in hyperspectral images (HSIs). Currently, many ...
IEEE

Binary Neural Networks With Feature Information Retention for Efficient Image Classification

Abstract: Although binary neural networks (BNNs) enjoy extreme compression ratios, there are significant accuracy gap compared with full-precision models. Previous works propose various strategies to ...
C&EN

A Reconfigurable Silicon Transistor for Noise-Resilient Stochastic Spiking Neural Networks

School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea Graduate School of Semiconductor Technology, ...