5 papers · ranked by Valyu relevance
Charles de Kergariou, Helmut Hauser, David Correa
Advances in novel materials science enable structures to function as intelligent machines by embedding memory and learning capabilities directly into materials. Our work introduces a physical adaptive material motor unit neural network, leveraging a new generation of controllable actuators composed of wood- and carbon…
Yuqiao Liu, Siyu Yi, Hengchuang Yin, Wei Ju
Single-cell RNA sequencing profiles cellular heterogeneity at atlas scale, making automated annotation essential. However, target datasets often contain novel cell types missing from incomplete references. We present scOLAR, an ontology-guided open-set framework that learns prototypes over the Cell Ontology and uses…
Heng Zhang, Yichong Sun, Xiaoting Zhang, Chi‐Kwan Lee + 4 more
Capsule endoscopes play an essential role in visualizing the gastrointestinal tract and identifying pathological lesions, but existing systems are still largely limited to passive visualization without therapeutic capability. Here, we present a proof-of-concept multifunctional capsule robot (MCR) integrating diagnostic…
Priyanka Bhutada, Nitin Goyal, Tatsam K. Lakhankiya, Sai D. Narahari + 8 more
Artificial Intelligence (AI) frameworks for automating scientific research have shown strong performance on benchmarks, but their utility for real-world industrial research remains insufficiently characterized. Extending the analysis presented in the first paper of this series, we evaluated the same five advanced AI…
Yarelix Estrada, Jeffery Sauer, Leonardo Dominguez, Mia Borrelli + 2 more
2## Methods The following section describes the key context and details underpinning different facets of the concordance analysis. The section begins with an explanation as to the public health problem and drug checking technologies featured in the concordance analysis (Section [dar70246-sec-0003]). The section…