A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...

As a class of biologically active molecules with significant immunomodulatory and anti-inflammatory effects, anti-inflammatory peptides have important application value in the medical and ...

Intelligent manufacturing is one of the most important strategies towards the upgradation of chemical industry. The deep learning modeling technology acts as a crucial role in this industry ...

This paper discusses a deep learning approach for detecting defects in photovoltaic (PV) modules using electroluminescence (EL) images. The method addresses key challenges in two practical areas: ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Korea Deep Learning's Document AI secured the #1 overall ranking on ParseBench, a global document parsing benchmark, beating ...

Combining microscopy, scanning, and deep learning enables more precise imaging of functional dynamics in neural networks of human cortical organoids.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Korea Deep Learning, a pioneer in enterprise-grade Document AI and vision intelligence solutions, today announced that its proprietary Document AI has secured the #1 overall ranking on ParseBench, a ...

A machine learning-powered simulation is giving researchers a new window into the processes that create some of the universe’s heaviest elements.

Breast cancer is a biologically heterogeneous disease in which genomic complexity, dynamic tumor evolution, and variable therapeutic response continue to ...