Nature

Understanding deep learning in land use classification based on Sentinel-2 time series

The use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is rapidly increasing. DL techniques have provided excellent results in applications ranging from parameter ...
Nature

Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images

Deep learning is being employed in disease detection and classification based on medical images for clinical decision making. It typically requires large amounts of labelled data; however, the sample ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

How Machine Learning Is Quietly Reshaping One of International Trade's Oldest Bottlenecks

LOS ANGELES, CA / ACCESS Newswire / June 11, 2026 / For most consumers, the journey of a package across international borders feels invisible. A box leaves a warehouse, crosses an ocean, and arrives ...
AZoNano

Machine Learning Reveals Hidden Nanophotonic Resonances In Silicon-Gold Nanopillars

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
technologynetworks

Deep Learning in High-Content Screening Imaging

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...