Sentence examples for recognition for everything from inspiring English sources

"It's real recognition for everything that has been achieved at Random House," she added.

"I want to thank BBC Northern Ireland for this award as it is fantastic recognition for everything that has happened in the past year and also for the sport of cycling which has been going through somewhat of resurgence in popularity recently.

His son-in-law Jim Williams said that though Mr. Mattson was certainly gratified to be granted Spanish citizenship, he never doubted that what he did was right, despite having been "hounded" by the F.B.I. "In some ways," Mr. Williams said of the citizenship award, "it will be a recognition of everything he's fought for all his life".

This is a recognition of everything that engineering is and everything that engineering can and will become.

Women, on the other hand, were forced to lean more heavily on love and marriage, for intellectual recognition and companionship as for everything else.

It is challenging for a speech recognition model to accommodate for everything".

Speaking to the BBC, actor Eddie Redmayne said the recognition for The Theory of Everything was "thrilling".

Such "artificial neural networks" can be used for everything from image recognition to credit scoring, but their size and complexity and so their deductive power is limited.This is because it is only possible to fit a certain number of silicon neurons on to a single chip; and there is a limit to the number of connections that can be made between adjacent neural chips.

Now she uses special voice recognition software to surf the Web for everything from dishwashing detergent to vegetables.

Such self-teaching algorithms are a hot topic for computing firms, which use them for everything from facial recognition to targeted advertising.

This new machine is 100 million times faster than any other contemporary computers, a serious leap ahead for AI, considered by Google researchers as a significant breakthrough: "We hope it helps researchers construct more efficient and more accurate models for everything from speech recognition, to web search, to protein folding" (Neven 2013).