Abstract: Designing robotic end-effectors often begins with a simple question: how will the structure behave when its material, geometry, and loading conditions change? In practice, answering this ...

“Multiscale Structural Mechanics: Top-Down Modeling of Composite Structures Using Mechanics of Structure Genome” delivers a unified approach to composites modeling based on the concept of structure ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

We take a new perspective on identification in structural dynamic models: rather than imposing restrictions alone, we optimize an objective. While definitive structural identification ultimately ...

Lysine post-translational modifications (PTMs) are crucial for regulating protein function, yet their experimental identification remains challenging. To address this, we developed an AI framework ...

Protein oligomers formed from hIAPP are a likely cytotoxic species that drive β-cell loss in type 2 diabetes. We report an atomic structural model of an hIAPP oligomer using a combination of ...

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Abstract: Causal inference involving Structural causal models (SCMs) provides a principled approach to identifying causation from observational and experimental data in disciplines ranging from ...

The Philadelphia Eagles are the reigning Super Bowl champions, so it’s no surprise they’re my NFL Projection Model’s favorite to conquer the NFC again this year, with a 15.5 percent chance at going ...

The association between cumulative lifetime cannabis use (cannabis-years) and incident hypertension was examined over 35 years in a sample of CARDIA study (Coronary Artery Risk Development in Young ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...