Artificially generated data can help to train AI models when real data are scant, but more focus is needed on validating the ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Statistical models used in geophysical, environmental, and climate science applications must reflect the curvature of the spatial domain in global data. Over the past few decades, statisticians have ...

Forbes contributors publish independent expert analyses and insights. I write about the big picture of artificial intelligence. This article is more than 3 years old. These people do not exist. These ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

For instance, the research found that for facts that appear only once in the training data, the hallucination rate of AI is at least equal to the proportion of such facts in the t ...

The certificate will augment students’ learning while pursuing a Master’s or Ph.D. in a specific domain. Students in the certificate will develop deep technical skills in big data, statistical ...

Companies rely on real-world data to train artificial-intelligence models that can identify anomalies, make predictions and generate insights. But often, it isn’t enough. To detect credit-card fraud, ...

Models are making headlines amidst the COVID-19 pandemic and no, they aren’t the kind you would find walking the catwalk. Statistical models are being deployed to determine exactly when things might ...