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

Studying physics can be very useful—even when it comes to machine learning. A digital "super-brain" with built-in knowledge ...

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic ...

Blurry light from lens imperfections is a problem everywhere, from microscopes to telescopes to smartphone cameras. Using a ...

QBTS expands into AI and blockchain via a live quantum-classical testNet with Postquant Labs and early drug discovery gains with Shionogi.

These celestial bodies are known as brown dwarfs, often referred to as galactic oddballs because they form out of collapsing ...

A new review shows how ICESat-2, a satellite originally designed for ice monitoring, is reshaping ocean science by adding the missing vertical dimension to space-based observation. Using ...

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.

Researchers have summarised artificial intelligence research within ophthalmology over the past two decades in a new review article ...

Glass processing has evolved into one of the most demanding fields in precision manufacturing, with components measured in ...

With help from AWS principal applied scientist Giacomo Bernardi and other colleagues, AWS has become the first company to ...