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

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

A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from ...

Collaboration expands quantum computing in LATAM, supporting quantum machine learning for digital pathologySANTIAGO, Chile, ...

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

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

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

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Field Fastener uses Quickcode to speed HTS classification and tariff calculations, reduce risk, and improve sourcing ...

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.

Medtech developers incorporating AI or machine learning into medical devices need to recognize if and how FDA will regulate ...