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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 ...
Nature

Soil microbiome prediction using traditional machine learning and deep learning models

Microbiomes are communities of microorganisms sharing the same environment. This environment can be any ecosystem, including the human body, soil, oceans, or plants. Microbial communities usually ...
Phys.org

Interpretable AI in materials discovery: Uncovering how models make predictions

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...
Nature

Global performance of machine learning models to predict all-cause mortality: systematic review and meta-analysis

We aimed to review the literature on the performance of machine learning models to predict all-cause mortality. The systematic review was protocolled in PROSPERO (CRD42023476567) following PRISMA ...