eLife

CNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Hybrid Quantum: Classical Architectures For Machine Learning

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.
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

Multidomain Adaptive Unsupervised Learning for Cross-Scene Hyperspectral Image Classification Based on a Generative Network

Abstract: Cross-scene hyperspectral image classification has achieved favorable outcomes in the domain adaptation of deep learning. However, transferring the sample features learned from the source ...
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, ...