Manuscript writing help for Artificial Intelligence research – PhD Assistance
                     ARTIFICIA
L  INTELLIGENCE  
RESEARCH 
TOPICS
MANUSCRIFPOTRS PHD
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An Academic presentation 
by  Dr. Nancy Agnes, Head, Technical Operations, 
Phdassistance
Group 
www.phdassistance.com  
Email: 
[email protected]
Today 's  Dis cus s ion
Introduction  
Deep 
learning  
Robotics
Natural language 
processing  Computer 
vision  Recommender 
systems  Internet of things  
Conclusion
INTRODUCTION
Imagine a world where knowledge isn't  
limited to humans!!! A world in which  
computers will think and collaborate with  
humans to create a more exciting universe.
Although this future is still a  long way off,  
Artificial Intelligence has made significant  
progress in recent years.
In almost every area of AI, such as 
quantum  computing, healthcare, 
autonomous vehicles,  the internet of 
things, robotics, and so on,  there is a  lot of 
research going on.
So much so that the number of annual 
Published  Research Papers on Artificial 
Intelligence has  increased by 90% since 1996.
Keeping this in mind, there are several sub-  
topics on which you can concentrate if you 
want  to study and write a  thesis on Artificial  
Intelligence.
This article covers a  few of these subjects 
and  provides a  short overview.
DEEP 
LDEeAep RLeNarnIinNg Gis a  type of machine learning that learns by simulating the internal workings of 
the  human brain in order to process data and make decisions.
Deep Learning is a  form of machine learning that employs artificial neural networks.
These neura l networks are linked in a web-like structure, similar to the human brain's
networks  (basically a  condensed version of our brain!).
Artificial neural networks have a web-like 
 structure that allows them to process 
data  in a  nonlinear manner, which is a  
major  advantage over conventional 
algorithms  that can only process data 
in a  linear  manner.
Rank Brain, one of the variables in the  
Google Search algorithm, is an example 
of  a  deep neural network.
ROBOTICS
Robotics is an area concerned with the 
 creation of humanoid robots that can  
assist humans and perform several 
acts.
In certain cases, robots can behave 
like  humans, but can they think like 
humans  as well?
Kismet, a  social interaction robot  
developed at M.I.T.'s Artificial 
Intelligence  Lab, is an example of this.
It understands human body language 
as  well as our voice and responds to 
them  appropriately.
NATURAL 
LANGUAGE  
PFRurtOheCrmoEreS, SIpNeoGple's assessments and 
judgements  of their experiences are frequently 
formed without  their knowledge, contributing to 
bias in reality  perceptions.
Individuals who practice mindfulness and 
develop  their awareness may perceive their 
surroundings  more precisely and, as a  result, 
respond to them  purposefully rather than 
habitually or mechanically.
COM PUTER 
VThIeS inItOernNet is full of images! This is the selfie age, 
and  taking and posting a photo has never been 
easier.
Each day, millions of images are uploaded to the  
internet and viewed.
It's important for computers to be able to see and  
understand images in order to make the most of 
the  vast amount of images available online.
And, while humans can do this without thinking 
about  it, computers find it more difficult! This is 
where  Computer Vision enters the image.
RECOM M ENDER 
SDYo ySouT gEetM moSvie and series recommendations from Netflix based on your previous choices or  
favourite genres? This is achieved by Recommender Systems, which offer you advice about 
what to  do next from the vast array of options available online.
Content-based Recommendation or even Collaborative Filtering may be used in a  
Recommender  System.
The content of all the products is analysed in Content-Based Recommendation.
INTERNET OF 
TAHrtiIfiNcialG inStelligence is concerned with the  
creation of systems that can learn to perform 
 human-like tasks based on prior experience  
and without the need for human interaction.
The Internet of Things, on the other hand, is 
a  network of different devices linked to the  
internet and capable of collecting and  
exchanging data.
All of these IoT devices now generate a large  
amount of data, which must be collected and 
 mined in order to produce actionable results.
Artificial Intelligence enters the picture at this stage.
The Internet of Things is used to collect and manage the massive amounts of data that 
 Artificial Intelligence algorithms need.
As a consequence, these algorithms transform the data into useful actionable results 
 that IoT devices can use.
CONCLUSIONS
In this blog discussed recen
the  enhancement for arttificia
intelligences and their sub fielld.
This will help to the PhD scholar who  
are interested to research in 
artificial  intelligences domain.
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