The process of building and using machine learning architecture doesn’t move at the speed of business ... be more valuable than the entirety of the customer’s engagement or pattern of behaviors.

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...

AI-powered digital twins enhance efficiency, predict outcomes and enable cost-effective system tuning by simulating real-world entities before live deployment.

By training on 8000 examples encompassing diverse defect patterns and strain states from molecular ... under complex evolving loads central to 2D material design. Their machine learning architecture ...

Researchers at Northwestern Engineering have developed a scientific machine learning framework that predicts and inversely designs the mechanical behavior ... a two-step Deep Operator Network ...