The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

Intelligence in business decision making is increasingly defined not by how much data a company has but by how fast it can ...

Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

Although genome-wide association studies (GWASs) have identified numerous loci associated with complex traits, imprecise modeling of the genetic relatedness within study samples may cause substantial ...

A t the 2025 IFT FIRST Annual Event and Expo’s Solutions Showcase session Accelerating Predictive Insight with Causal AI and ...

Lecture Notes-Monograph Series, Vol. 49, Optimality: The Second Erich L. Lehmann Symposium (2006), pp. 291-311 (21 pages) We analyze the (unconditional) distribution of a linear predictor that is ...

This new article publication from Acta Pharmaceutica Sinica B, discusses an AI-integrated quality prediction and diagnostics framework that could transform small-sample pharmaceutical manufacturing ...

We revisit the problem of determining the sample size for a Gaussian process emulator and provide a data analytic tool for exact sample size calculations that goes beyond the n = 10d rule of thumb and ...