In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably ...

Achieving precise and predictable motion remains a persistent challenge for microelectromechanical systems (MEMS), where many actuators respond ...

Two rival teams — one using machine learning, the other human eyes — race to find the first spacecraft to soft-land on the moon.

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Throughout the past decade, Northwestern University scientists have uncovered a striking principle of vaccine design: ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...