Sentence examples for inference speed from inspiring English sources

The inference speed of the controller is about 16.6 MFLIPS.

Nevertheless, the disadvantages of fuzzy logic are slow inference speed and low precision.

However, slow inference speed is its crucial problem: cost-based abduction is NP-complete.

The guiding network is used only for training, and therefore does not affect the inference speed.

This paper goes to hybrid realization which allows adequate tradeoff between flexibility and inference speed [13, 14].

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

This dedicated single chip architecture performs high-speed fuzzy inferences with processing speed up to 760 KFLIPS at a clock frequency of 247 MHz using 8 rules, 2 input variables at 16-bit resolution.

In this contribution, we show how VB can be used to massively speed up inference in the BitSeq model for transcript expression-level inference.

In protein families of realistic size, this learning can only be done approximately, and there is a trade-off between inference precision and computational speed.

There is a blossoming ecosystem around custom silicon that looks to speed up inference on devices like cars or IoT devices, which is geared toward reducing the space and power constraints of those chips while also running those processes much more quickly.

Our goal in this article is to adapt a popular approximate inference framework to greatly speed up inference of population structure while achieving accuracies comparable to STRUCTURE and ADMIXTURE.