Answer:
a. Every year or two, the capacities of computers have approximately doubled without any increase in price.
Explanation:
Gordon E. Moore is the co-founder of the organization named Intel Corporation.
He observed that, in every two years, the number of transistors used in the integrated chips installed in the computers are doubled but the cost of the computers are halved or hardly remains the same. His observation is known as Moore's law.
Hence the correct option is (a).
This means that, for example if a group or two people are having an argument it’s best that it doesn’t in with one side of the argument winning, or feeling as if they’re more correct than the others. It’s best that both people or peoples feel like they’ve won in the argument, this way it wouldn’t involve any long term conflict.. which could lead to something very unnecessary or sometimes even harmful to both people.
Answer:
Get to know your customers.
Offer great customer service. ...
Nurture existing customers and look for new opportunities.
Use social media.
Attend networking events.
Host events.
Give back to your community.
Measure what works and refine your approach as you go.
Explanation:
dzmitry bahdanau, kyunghyun cho, and yoshua bengio. 2014. neural machine translation by jointly learning to align and
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance.
The models proposed as of late for brain machine interpretation frequently have a place with a group of encoder-decoders and comprises of an encoder that encodes a source sentence into a fixed-length vector from which a decoder creates an interpretation.
In this paper, we guess that the utilization of a fixed-length vector is a bottleneck in working on the exhibition of this essential encoder-decoder engineering, and propose to broaden this by permitting a model to naturally (delicate )look for parts of a source sentence that are pertinent to anticipating an objective word, without shaping these parts as a hard section unequivocally.
With this new methodology, we accomplish an interpretation execution equivalent to the current cutting edge state put together framework with respect to the undertaking of English-to-French interpretation. Moreover, subjective examination uncovers that the (delicate )arrangements found by the model concur well with our instinct.
to learn more about neural machine translation
brainly.com/question/3299445
#SPJ4
Historians look for clues as to what life would have been like and what happened in the past, in different societies. They sift through a lot of evidence and of different geological regions.
