Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Over the last several decades urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated ...

Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...