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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to ...
Large Eddy Simulation (LES) has emerged as a pivotal computational approach in fluid dynamics, enabling the resolution of the dominant, energy‐containing turbulent eddies while modelling the effects ...
Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...
Carbon capture and storage (CCS) project sanctioning requires reasonable estimates of CO 2 storage volume and plume migration in the reservoir. Numerical simulation based on geological data provides ...
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