Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
Advanced Intelligent Systems, EarlyView.This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Age-related differences in implicit temporal preparation. [PDF]
Front PsycholWelhaf MS.
europepmc +1 more source
Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials
Advanced Intelligent Systems, EarlyView.This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna +5 more
wiley +1 more source
Toward personalized persuasive social robots for behavior change in healthcare: a conceptual framework. [PDF]
Front Robot AIMaalouly E, Rossi A, Rossi S.
europepmc +1 more source
Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility
Advanced Intelligent Systems, EarlyView.This study presents a diatom‐inspired robotic system that explores group coordination through limited physical interactions. The researchers tune groups of Barbots, simple robotic agents that possess neither individual mobility nor explicit communication capabilities, to achieve complex and adaptive collaboration based on environmental light.
Tianyi Hu +4 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
From <i>Jurassic Park</i> to <i>Pokémon</i>: a pop culture-based science communication project for the biology classroom. [PDF]
J Microbiol Biol EducEden A.
europepmc +1 more source
Accounting for animal health in efficiency analysis: An application to Swedish dairy farms
American Journal of Agricultural Economics, EarlyView.Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang +3 more
wiley +1 more source
Exploring the use of a virtual patient model for teaching clinical empathy to medical students at a tertiary care institute: a cross-sectional study. [PDF]
J Rural MedSharma V +5 more
europepmc +1 more source
Climate change and perennial crop production: Evidence of yield impact and adaptation in California
American Journal of Agricultural Economics, EarlyView.Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen +2 more
wiley +1 more source