If the FDA follows through with the proposed guidelines, and they are not fatally twisted by pressure from the medical ...
Many studies show that patients often struggle to interpret numerical information in medical contexts, especially probabilities related to recovery and side effects. In a recently published Letter in ...
Abstract: Bayesian optimization is commonly used to optimize black-box functions associated with simulations in engineering and science. Bayesian optimization contains two essential components: the ...
Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...
Breakthrough technology combines traditional physics-based modelling with artificial intelligence to improve oil spill trajectory predictions significantly. Significant accuracy gains achieve up to 20 ...
Department of Intelligent Energy and Industry, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea Department of Intelligent Energy and Industry, Chung-Ang University, 84 ...
Cognitive biases, often seen as uniquely human flaws, may instead reflect fundamental decision-making strategies shared across species. By demonstrating that macaque monkeys and carrion crows exhibit ...
The IMEX schemes apply the implicit temporal method to only a small portion of the domain and use explicit calculations elsewhere, based on a convenient splitting algorithm. IMEX methods effectively ...
In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...
Introduction: This study explores the transformative potential of digital, theory-driven, and Bayesian paradigms in neuropsychology by combining digital technologies, a commitment to evaluating ...
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