A new technical paper, “Towards Structured Training and Validation of AI-based Systems with Digital Twin Scenarios,” was ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to ...

Abstract: In recent years, the Digital Twin has attracted significant attention in academia and industry as a powerful technology for creating virtual replicas of physical systems tailored to specific ...

CHANTILLY, Va.--(BUSINESS WIRE)--Amentum (NYSE: AMTM) delivered advanced end-to-end ground systems engineering for a key Artemis II launch rehearsal at the Kennedy Space Center on December 20. The ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

Prompt engineering is the practice of writing clear, purposeful inputs that guide AI models to deliver accurate and context-aware outputs. It’s become a foundational skill across AI-assisted workflows ...

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...