Results 41 to 50 of about 816,227 (284)
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, EarlyView.DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
مجله پژوهش در علوم توانبخشی, 2020 Introduction: Disabling behaviors of autism are a prominent factor in differences with normal individuals. Therefore, the purpose of this study was to investigate the effect of implicit and explicit learning of bimanual coordination on disabling social ...
Benyamin Ghelichpoor +3 more
doaj +1 more source
Learning Implicit Biases from Fiction
The Journal of Aesthetics and Art Criticism, 2022 Abstract Philosophers and psychologists have argued that fiction can ethically educate us: fiction supposedly can make us better people. This view has been contested. It is, however, rarely argued that fiction can morally “corrupt” us. In this article, we focus on the alleged power of fiction to decrease one's prejudices and biases.
Kris Goffin, Stacie Friend
openaire +2 more sources
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Structural selection in implicit learning of artificial grammars [PDF]
, 2010 In the contextual cueing paradigm, Endo and Takeda (in Percept Psychophys 66:293–302, 2004) provided evidence that implicit learning involves selection of the aspect of a structure that is most useful to one’s task.
Poletiek, F., Van den Bos, E.
core +2 more sources
Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Understanding implicit learning in museums and galleries
Museum & Society, 2015 Implicit learning, learning we are not aware of, or learning which results in knowledge we do not know we possess or cannot articulate, is often considered to be a ubiquitous part of life, and yet is rarely studied in real-world contexts.
Alex Elwick
doaj +1 more source
Implicit and explicit learning in ACT-R [PDF]
, 1998 A useful way to explain the notions of implicit and explicit learning in ACT-R is to define implicit learning as learning by ACT-R's learning mechanisms, and explicit learning as the results of learning goals.
Lebiere, Christian +2 more
core
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Learning from Logged Implicit Exploration Data [PDF]
, 2010 We provide a sound and consistent foundation for the use of \emph{nonrandom} exploration data in "contextual bandit" or "partially labeled" settings where only the value of a chosen action is learned.
Kakade, Sham +3 more
core +4 more sources