Nature

A comparative evaluation of deep learning approaches for ophthalmology

There is a growing number of publicly available ophthalmic imaging datasets and open-source code for Machine Learning algorithms. This allows ophthalmic researchers and practitioners to independently ...
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 ...
Nature

A robust synthetic data generation framework for machine learning in high-resolution transmission electron microscopy (HRTEM)

Machine learning (ML) methods promise to accurately and automatically analyze large datasets at high-speeds, revolutionizing our materials characterization workflows. Many state-of-the-art ML tools ...
Morningstar

US-DATA Expands Global Data Annotation Services for AI, Computer Vision and Machine Learning Projects

US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, testing and improving AI models. NEW YORK, NY / ACCESS Newswire / May 21, 2026 / US-DATA, a ...
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 ...