Results 161 to 170 of about 1,645,700 (287)

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Online physician recommendation with dynamic capacity and semantic similarity: A primal-dual optimization framework. [PDF]

PLoS One
Qiu Y, Chen Y, Xie Y, Li M, Yan J, Liu H.   +5 more
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Deciphering key factors of active learning performance in biomolecular design. [PDF]

Bioinformatics
Zhi Y, Du Q, Yu H, Wei L, Wang X.
europepmc   +1 more source

Greedy-like algorithms in Kleene algebra

, 2003
This paper provides an algebraic background for the formal derivation of greedy-like algorithms. Such derivations have previously been done in various frameworks including relation algebra.
Bernhard Möller, Georg Struth
core  

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

Improvement of Artificial Hummingbird Algorithm with Greedy Fitness-Distance Balance Method and Its Application to Load Frequency Control. [PDF]

Biomimetics (Basel)
Aslanov T, Çavdar B, Akyazı Ö, Yanmaz K.   +3 more
europepmc   +1 more source

Incremental Parametric Development of Greedy Algorithms

, 2006
International audienceThe event B method provides a general framework for modelling both data structures and algorithms. B models are validated by discharging proof obligations ensuring safety properties.
Méry, Dominique, Cansell, Dominique
core  

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

Integrated continuous berth allocation with time-invariant specific quay crane assignment using a mixed-integer model and greedy genetic algorithm. [PDF]

Sci Rep
Zhou Y, Cheng X, Cao Y.
europepmc   +1 more source