Artificial intelligence has captured all the activities of our daily life, it not only solve our social problems but also helps in the development of a country. From agriculture to Robot Technology (RT), AI is the key for development. AI basically works on pat-terns, learning from past experiences and then implementing them, which sometimes add as a constraint. So, in this paper we will see the different aspect of AI, that is Brain intelligence, where without the past experience also machine will be able to take logical decision.
Published In:IJCSN Journal Volume 8, Issue 1
Date of Publication : February 2019
Pages : 110-114
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Divya Bharti :
is a Student of Bits, Pilani Pursuing Masters in
Software Systems with Specialisation in Data Analytics.
She has more than 5 years of experience with IBM India and
DXC technology exploring different domains of analytics. She
has presented the paper in IBM for Migration of Mainframes in
Cloud. Her current field of interest is AI.
In this paper, I have presented state-of-the-art artificial intelligence tools for individual application areas, such as natural language processing and visual recognition. The main contributions of this work are as follows. First, this is an overview of current deep learning methods. We have summarized the nine potential applications in detail. Sec-ond, this paper puts together all the problems of recent AI models, which will direct future work for researchers. Third, in this paper, we first proposed the brain intelli-gence model, which is a model fusing artificial intelligence and artificial life. AL models, such as the S- system, have the benefits of an association function, which is different from generative adversarial networks (GAN), for building big data within a life evolution process. It is foreseeable that the BI model can solve the issues of the frame prob-lem, the association function problem, the symbol ground-ing problem, and the mental/ physical problem.
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