Sentence examples for inference acceleration from inspiring English sources

Amazon Web Services today announced Amazon Elastic Inference, a new service that lets customers attach GPU-powered inference acceleration to any Amazon EC2 instance and reduces deep learning costs by up to 75percentt.

Multiple hypothesis testing is then conducted to construct an ensemble of reduced-dimensionality PCEs with only the most influential terms, which is meaningful for achieving uncertainty reduction and further acceleration of parameter inference.

This would draw an inference for the location of the acceleration of CRs in the HMS, as will be discussed later together with other kinds of evidence.

For phylogenetic reconstruction, we used the software package MrBayes 3.1.2 [59], which combines Bayesian inference and Markov chain Monte Carlo convergence acceleration techniques known as Metropolis coupling.

For phylogenetic reconstruction, we used the software package MrBayes 3.1.2 [ 58], which combines Bayesian inference and Markov chain Monte Carlo convergence acceleration techniques known as Metropolis coupling.

The brain of the intelligent controller lies in the Fuzzy Inference System, which receives as its input displacement, velocity and acceleration information.

Amazon Elastic Inference will also be available for Amazon SageMaker notebook instances and endpoints, "bringing acceleration to built-in algorithms and to deep learning environments," the company wrote in a blog post.

Several network compression and acceleration techniques including multi-layer merging and knowledge distilling are adopted to further improve inference speed.

DTEEP is used for hardware acceleration of the fitness evaluation, since it is shown that most of the ensemble inference time is spent on this task.

The fuzzy inference mechanism that adjusts the related coefficients has two inputs one of which is called "normalized acceleration" and the other one is the classical "error".

The study of Aljaafreh, Alshabatat, and Najim [76] proposes the use of inference by fuzzy logic for online identification of abnormal driving data and driver behavior classification based on acceleration and speed.