Results 41 to 50 of about 14,401 (279)
Adieu Bias: Debiasing Intuitions Among French Speakers
Recent debiasing studies have shown that a short, plain-English explanation of the correct solution strategy can improve reasoning performance. However, these studies have predominantly focused on English-speaking populations, who were tested with ...
Nina Franiatte +3 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Far Beyond Baker: Heuristics and the Inadequacy of the Reasonable Apprehension of Bias Analysis
When we consider bias in an adjudicative setting, we think about cases such as Baker v. Canada where the interviewing officer’s emphasis on the applicant’s number of children, economic status, and mental health is glaring. It is easy to become accustomed
Arash Nayerahmadi
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Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
In the proposed model, a photoinduced nanoreactor uses Cu2O self‐photooxidation to generate localized supersaturation. A metastable supersaturation state first forms a shell, creating a spatially confined environment that restricts reactant exchange; continued Cu release then drives the local environment toward a labile regime that favors predominantly
Yongdeok Ahn +5 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Heuristics: The good, the bad, and the biased. What value can bias have for decision makers? [PDF]
This discussion paper will look at heuristics (rule of thumb techniques for decision making), (Tversky & Kahneman, 1974) and their potential value. Typically, heuristics have been viewed negatively (Gigerenzer & Goldstein, 1996), with research suggesting
Murray, Jennifer +5 more
core
Simplicity rules the roost: Exploring birdbrain parental investment heuristics
Parents raising multiple offspring must decide how to divide resources between them. Much empirical data on the parenting behaviour of particular species has been collected.
Todd, Peter M. +9 more
core +1 more source
Exploration of Economic Behavior and Rationality: integrating Behavioral Economics and Praxeology
The purpose of this article is to present, delimit, and integrate the proposals of economic behavior and behavioral economics, including their axioms, heuristics, and biases, to advance research in this field.
Edgar Lascano Corrales
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