Results 181 to 190 of about 101,433 (306)
Biases of large language models in diagnosing Cushing's syndrome. [PDF]
Savvidis C, Liakopoulos C, Ilias I.
europepmc +1 more source
Learning to Respond: The Use of Heuristics in Dynamic Games [PDF]
While many learning models have been proposed in the game theoretic literature to track individuals’ behavior, surprisingly little research has focused on how well these models describe human adaptation in changing dynamic environments. Analysis of human
Mikhael Shor
core
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Theory of mind on demand: do we prepare or react? [PDF]
Roth M, Marsella S.
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
The Firefighter problem with dynamic defence costs. [PDF]
Hunter E, Enright J.
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
The Quantum Optimization Benchmarking Library. [PDF]
Koch T +26 more
europepmc +1 more source
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Cognitive Task Analysis to Understand and Overcome Heuristics in Medical Residents: Even More Relevant in the Era of Artificial Intelligence. [PDF]
Zaeh S.
europepmc +1 more source

