Results 231 to 240 of about 55,191 (281)

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Overcoming behavioral variability in electromyography signals by an adaptive incremental classification approach. [PDF]

Comput Struct Biotechnol J
Hellara H, Kahouli O, Njeh S, Kallel AY, Kanoun O.   +4 more
europepmc   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Bioarchitectonics-inspired soft grippers with cutaneous slip perception. [PDF]

Sci Adv
Su J, Tan JMR, Liu J, He K, Wu D, Lai W, Cao J, Phee SJ, Magdassi S, Chen X.   +9 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Vibrissae-inspired vision-based magnetic-actuated whisker. [PDF]

Nat Commun
Hu Z, Cheng Y, Wachs J, She Y.
europepmc   +1 more source

Dynamic grasping system based on visual algorithm and robot arm collaboration in logistics production line. [PDF]

PLoS One
He B, Chen B.
europepmc   +1 more source

A detachable crawling robotic hand. [PDF]

Nat Commun
Gao X, Yao K, Junge K, Hughes J, Billard A.   +4 more
europepmc   +1 more source

Real-Time Target-Oriented Grasping Framework for Resource-Constrained Robots. [PDF]

Sensors (Basel)
Han D, Li H, Li Y, Chen S.
europepmc   +1 more source

Multimodal Field-Driven Actuation in Bioinspired Robots: An Emerging Taxonomy and Roadmap Towards Hybrid Intelligence. [PDF]

Biomimetics (Basel)
Wang J, Wang X, Zhou S, Chen G.
europepmc   +1 more source