How researchers measure the logical reasoning of monkeys, pigeons, rats, fish and wasps shapes how they understand mental ...

AI inference attacks drain enterprise budgets, derail regulatory compliance and destroy new AI deployment ROI.

In a broader context, we show an example of the correct statistical inference (construction of confidence intervals and bias-adjusted estimates) that can be implemented in other imaging applications.

Most statistical analyses involve some kind of ‟selection”—searching through the data for the strongest associations. Measuring the strength of the resulting associations is a challenging task, ...

Concurrent inference and dynamic batching The purpose of this sample is to demonstrate the important features of Triton Inference Server such as concurrent model execution and dynamic batching.

Examples of statistical inference in action Consider a pharmaceutical company testing a new drug. Researchers may collect a sample of patients and measure the drug’s effectiveness.

Bayesian inference is a method of statistical inference that uses Bayes' Theorem to update the probability of a hypothesis as new evidence or data becomes available.