A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...
Reliability and Risk in AI-Assisted Medication Decision Systems,” the study examines how AI systems perform under failure conditions and what types of errors emerge in medication-related ...
Emergency Department, Torcuato de Alvear Psychiatric Emergency Hospital, Buenos Aires, Argentina. 2 Center for Interdisciplinary Forensic Research (CIDIF), National Academy of Sciences, Buenos Aires, ...
Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...
Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...
Abstract: Various algorithms derived from the errors-in-variables (EIV) model are always commonly used for estimating transformation parameters in 3-D point cloud registration, which is attributed to ...
(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
This is the third in a three-blog series on PLDC. The first installment was “Improving Uniformity and Linearity for All Masks,” from January 29, 2025. The second blog was “Three Ways Curvy ILT ...
Newer AI tools are less accurate than older versions. Test show error rates as high as 79%. AI accuracy is declining due to changes in training methods. New AI ...
ABSTRACT: Service quality is important for public organisations, especially in higher education, where accredited degrees enhance reputation and competitiveness. A strong university image fosters ...
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