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

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...

Even when we clean, because of laziness or lack of time, we often throw all waste into the same bin without separating ...

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...

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

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...

This project explores machine learning and deep learning approaches for classifying colon cell histopathology image patches from a modified CRCHistoPhenotypes-style dataset. The project was completed ...

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

Automation in the food industry has accelerated in recent years, driven by demographic shifts, labor shortages, and ...