Step inside the strange world of a superfluid, a liquid that can flow endlessly without friction, defying the common-sense ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

Linear GTM models can’t explain stalled buyer decisioning or collapsing performance. A causal GTM logic layer is emerging to restore clarity and control. The post The future of GTM starts with causal ...

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Arash Rezaee on: "Cross-Layer Design and ...

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A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.

Dr. Sunayana Pandé has unveiled a pioneering framework that fundamentally reshapes how we understand and address ...

Ocean data assimilation systems combine data assimilation with numerical ocean models to predict ocean conditions.

The convergence of non-Hermitian physics and topological photonics has opened exciting research directions in recent years, ...

Abstract: The Takagi–Sugeno (TS) fuzzy control design method has been widely utilized for nonlinear system control due to its ability to approximate complex system behaviors. Traditionally, TS fuzzy ...