Nature

Large language models are biased — local initiatives are fighting for change

Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.

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 ...
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 ...
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 ...
CNN

Looking to speed up building network of migrant detention centers, Trump administration turns to the US Navy

The Department of Homeland Security is funneling $10 billion through the Navy to help facilitate the construction of a sprawling network of migrant detention centers across the US in an arrangement ...
IEEE

Multi-Label Auroral Image Classification Based on CNN and Transformer

Abstract: Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora ...