Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

Pattern-recognition algorithms developed for biometric identification are now analysing internal engine components, allowing ...

Researchers have developed a new way to recognize human emotions by combining fiber-based physiological signals with thermal ...

APL is developing a comprehensive suite of capabilities to ensure that additively manufactured parts can perform predictably in mission-critical applications — no matter where, when, or on what ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

In 2026, artificial intelligence (AI) systems are deployed at scale to support clinical decision-making. Algorithms detect cardiac arrhythmias from ECGs, classify skin lesions from photographs and ...