Results 231 to 240 of about 94,629 (276)

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

A framework for spontaneous Brillouin noise: unveiling fundamental limits in Brillouin metrology. [PDF]

Light Sci Appl
Jin S, Yao S, Yang Z, Du Z, Hong X, Soto MA, Xie J, Zhang L, Yang F, Wu J.   +9 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

Breaking and restoring ocular balance: Temporal interactions in binocular rivalry and stereopsis. [PDF]

J Vis
Jiang R, Meng M.
europepmc   +1 more source

Backbone agnostic Pareto evidential networks for trustworthy fault diagnosis and out of distribution detection. [PDF]

Sci Rep
Shi J, Tang M, Tan L.
europepmc   +1 more source

Impacts of Lead and Nanoplastic Co-Exposure on Decomposition, Microbial Diversity, and Community Assembly Mechanisms in Karst Riverine <i>Miscanthus</i> Litter. [PDF]

Microorganisms
Chen P, Mei T, He X, Lin Y, He Z, Kong X.   +5 more
europepmc   +1 more source

Dual-Subpopulation Competitive Particle Swarm Optimization with Engineering Applications. [PDF]

Biomimetics (Basel)
Zhang S, Zhang Y, Gao M, Zhang Q, Gao Y.
europepmc   +1 more source

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A Model of Probabilistic Choice Satisfying First-Order Stochastic Dominance

Management Science, 2011
This paper presents a new model of probabilistic binary choice under risk. In this model, a decision maker always satisfies first-order stochastic dominance. If neither lottery stochastically dominates the other alternative, a decision maker chooses in a probabilistic manner.
openaire   +3 more sources