Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

Every crystal's shape is a mirror of the internal arrangement of its molecules, but the molecules in photoswitchable crystals ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Tension: Marketers expect consistent ad performance, but audiences process the same message with decreasing intensity over ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

A setback in growing light-responsive crystals led UB chemist Jason Benedict and his team to a novel method for mapping molecular arrangements.

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...