Potential Research area for PhD in Artificial Intelligence

POTENTIAL RESEARCH AREA
FOR PHD IN ARTIFICIAL
INTELLIGENCE
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Tutors India
Group www.tutorsindia.com
Email: info@tutorsindia.com

Today's Discussion
OUTLINE
Abstract
Applications of Artificial Intelligence
Recent Trends in AI
Latest Topics in Artificial Intelligence
Conclusion

Abstract
Artificial Intelligence (AI) is focusing on one of the most
significant elements that could bring a remarkable change to
human life.
Other emerging technologies include the Internet of Things
(IoT), Big Data, Machine Learning.
These technologies are the unlimited and unpredictable possible
source, and no one knows how they could change the world in
the future.
The deeper you learn about AI, the scarier you will find. We are
in the most precious time of our kind.
Contd...

There is nothing that can stop us, from finding out space to getting our hands on
human genetics.
We can modify the weather; even we are not paying attention to do it.
Even though, AI is one thing that is uncontrollable, carrying out a dissertation in AI
will enable and contribute to intelligence. 1

Applications
of Artificial
Intelligence
The reach of Artificial Intelligence is constantly growing and is
used now in many domains.
Automated reasoning is the first step in artificial intelligence
programming.
It is a program that considers some encoded data about the
world as input and presents secondary conclusions based on
the data provided as output.
At first, this automated reasoning programming was merely
considered academic.
Contd...

But today, it is used in air traffic control systems, video games, and the Mars rover. 2
In the present century, AI has been significantly used in any area of research and in all
fields: Science, engineering, medicine, education, business, finance, accounting,
marketing, stock market, economics, and law, among many others.
Since the intelligence of machines, the range of AI has grown tremendously with
machine learning capabilities and also has produced profound impacts on
governments, businesses, and society.
Artificial intelligence is used in solving major issues like supply chain management,
logistics, optimization of energy resources, waste management, etc.
Contd...

Also in smart production, AI can be incorporated into green manufacturing processes
for better environmental policies. 3
Next blog: Impacts of artificial intelligence in enhancing customer engagement –
How AI can Improve Customer Experience Strategy

Recent
Trends in AI
There are several factors that fueled the revolution in AI.
Most important among them is the budding of machine
learning, supported partly by resources of cloud computing
resources and web-based data gathering which is extensive.
Machine learning technologies have been pushed in a
forward direction by Deep learning, which is a type of
adaptive artificial neural network.
Following are the recent trends in AI.
Large-scale machine learning: Many of the machine
learning issues like supervised and unsupervised learning is
well-understood.
Contd...

A major effort has been made to balance existing algorithms to handle exceptionally
large data sets.
Deep learning: The convolutional neural networks that have been trained successfully
has benefited the most field of computer vision, and several applications like video
labeling, object recognition, activity recognition, and several others.
This technology has also benefitted many areas of insight, such as speech, audio, and
natural language processing.
Robotics: Robotic navigation has been mainly solved in static environments.
Current efforts have been made to train a robot to communicate with the world in more
generalized and conventional ways.
Contd...

Another major topic of current interest that arises in interactive environments is
manipulation.
Influence in robotics is only the beginning of the deep learning revolution.
Computer vision: The most well-known form of machine perception in computer vision.
It is the sub-field of AI which has been transformed by the rise of deep learning.
Natural Language Processing: This technology is another active area of machine
perception and often coupled with automatic speech recognition. 5

Latest Topics
in Artificial
Intelligence
1Rule-Based Expert Systems for Image Understanding:
Recently several expert systems for image processing were
proposed.
The aim of rule- based expert system is to take knowledge
from a human expert and convert this into a number of
hardcoded rules to apply to the input data.
Spatial Structure and Function in Diagnosis: Structures are
related to object – associated visual information that remains
constant within the period of observation.
Functions display with changes either in relation to
contemporary structures or to the background or to both.
Contd...

Structures are usually visible in hierarchical spatial order, functions in both spatial and
time oriented order.
Device Modeling for a Versatile Maintenance Expert System: VMES is a devicemodel-based
versatile maintenance expert system for the domain of digital circuits.
The objective of VMES is to interact with a maintenance technician to identify the
specific faulty components or connections of a malfunctioning circuit.
A Computational Theory of Word Recognition: Computational theory of word
recognition has proven to be a valuable approach in developing theories of spokenword
processing.
Contd...

In this paper, we focus on a particular class of theories in which it is assumed that the
spoken-word recognition process consists of two consecutive stages, with an
`abstract' discrete symbolic representation at the interface between the stages.
Selection and Use of Image Features in Early Visual Processing: The visual system is
constantly bombarded with information originating from the outside world, but it is
unable to process all the received information at any given time.
Machine Understanding and Data Abstraction: The main scope of this topic is
machine learning and temporal abstraction methods and their application in medical
diagnosis.
It includes selection of methods and diagnostic domains, and also the performance or
viability of approaches.
Contd...

Blockchain in healthcare: Blockchains in healthcare can be envisaged in five primary
areas: Managing electronic medical record (EMR) data.
Protection of healthcare data. Personal health record data management.
AI for sustainability: AI can be a net positive contributor to environmental sustainability
in many industries.
Here are some examples: In agriculture, AI can transform production by better
monitoring and managing environmental conditions and crop yields.
AI can help reduce both fertilizer and water, all while improving crop yields. 6

Contd...
Conclusion
There are a huge variety of technologies and applications of AI
that can be explored in the dissertation.
It is significant to conduct many types of research relating to AI in
the future.
4 The engagement of researchers with challenges posed due to
the research in AI is unlimited.
Some research topics, like the similarity and difference between
analysis of the future and religious eschatology, have been well
focused, with strong argumentations and reasonably obvious
conclusions.

Contd...
Other topics such as the radical transformations that are already causing to our
society and our relation to one another still needs a deep theological evaluation. 7
Tutorsindia offers Artificial Intelligence and Machine Learning thesis help
includes Deep Learning, Robotics, Natural Language Processing, Reinforcement
Learning, Artificial Neural Network, Expert Systems, Fuzzy Systems, Computer
Vision, Biometrics, Computational Biology

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