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Other literature type . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2020
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2020
License: CC BY
Data sources: Datacite
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Artificial Intelligence and Machine Learning

Authors: Chatterjee, Saswati;

Artificial Intelligence and Machine Learning

Abstract

In various industries Artificial Intelligence and Machine Learning are the current trends within a significant number of software packages as well as the daily routine. Artificial Intelligence is now becoming an area of both speculation and priorities. Though there are new trends for business owners to invest in AI technologies, lack of trained staff means that they are not reaching the peak level to embrace AI. Machine Learning is a sub part of all AI systems. As it has augmented business applications, there is an opportunity for this technology which will be presented as a Cloud-based service known as Machine Learning-as-a-Service (MLaaS). Based upon sources that provided on the internet, Artificial Intelligence will facilitate Machine Learning algorithms to model the learning system. On the contrary there is a significant way to boost CPU power to contain Machine Learning data processing. There is a possibility to raise the capacity among the hardware vendors to redesign their machines to provide integrity to the powers of Machine Learning. As a result Machine Learning can facilitate machines to have a better sense and meaning of data.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green