1.
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Phdassistance
Group www.phdassistance.com
Email: info@phdassistance.com
ARTIFICIAL INTELLIGENCE RESEARCH
TOPICS FOR PHD MANUSCRIPTS 2021

2.
Introduction
Deep learning
Reinforcement learning
Robotics
Natural language processing
Outline
TODAY'S DISCUSSION
Computer vision
Recommender systems
Internet of things
Conclusion

3.
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.
Contd...
INTRODUCTION

4.
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.

5.
Here some of the recent Research Topics,
1
. Artificial Intelligence and Machine learning – Recent Trands
2. How AI and ML can aid healthcare systems in their response to COVID-19
3. Machine learning and artificial intelligence in haematology
4. Tackling the risk of stranded electricity assets with machine learning and artificial
intelligence

6.
Deep Learning is 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 neural networks are linked in a web-like structure,
similar to the human brain's networks (basically a
condensed version of our brain!).
Contd...
DEEPLEARNING

7.
Artificial Intelligence Research Topics for PhD Manuscripts

8.
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.

9.
RECENT RESEARCH TOPICS
Artificial intelligence & deep learning : PET and SPECT imaging
Hierarchical Deep Learning Neural Network (HiDeNN): A computational science and
engineering in AI architecture.
AI for surgical safety: automatic assessment of the critical view of safety in
laparoscopic cholecystectomy using Deep Learning
Deep learning-enabled medical computer vision

10.
Reinforcing Learning is an aspect of Artificial
Intelligence in which a computer learns something in
the same way as humans do.
Assume the computer is a student, for example. Over
time, the hypothetical student learns from its errors.
As a outcome of trial and error, Reinforcement
Machine Learning Algorithms learn optimal behaviour.
Contd...
REINFORCEMENT
LEARNING

11.
This means that the algorithm determines the next way to proceed by learning
behaviours based on its current state that will increase the reward in the future.
This also works for robots, just as it does for humans!
Google's AlphaGo Computer Programme, for example, used Reinforcement Learning
to defeat the world champion in the game of Go (a human!) in 2017.
Contd...

12.
Experimental quantum speed-up in reinforcement learning agents
Potential-based multiobjective reinforcement learning approaches
agents for AI safety
to low-impact
RECENT RESEARCH TOPICS

13.
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.
Contd...
ROBOTICS

14.
Another example is NASA's Robonaut, which was designed to assist astronauts in
space.
RECENT RESEARCH TOPICS
Regulating artificial intelligence and robotics: ethics by design in a digital society.
Regional anaesthesia :usages of artificial intelligence and robotics
Third Millennium Life Saving Smart Cyberspace Driven by AI and Robotics.

15.
Humans can obviously communicate with each other by
speech, but now machines can as well!
This is known as Natural Language Processing, and it
involves machines analysing and understanding language
and expression as it is spoken (which means that if you
speak to a computer, it might only respond!).
Speech recognition, natural language production, natural
language translation, and other aspects of NLP are all
concerned with language.
Contd...
NATURAL
LANGUAGE
PROCESSING

16.
NLP is recently very important in customer service applications, particularly chatbots.
These chatbots use machine learning and natural language processing to
communicate with users in textual form and respond to their questions.
As a result, you get a personal touch in your customer service experiences without
actually speaking with a human.
Here are several research papers in the field of Natural Language Processing that
have been published.
Contd...

17.
You can look at them to get more ideas for research and thesis topics on this
subject.
RECENT RESEARCH TOPICS
Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support
Groups: Protocol for an Algorithm Development and Validation Study
Sympathetic the temporal evolution of COVID-19 Research Through
Machine learning and natural language processing

18.
The internet 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.
Contd...
COMPUTER
VISION

19.
To extract information from images, Computer Vision utilizes Artificial Intelligence.
This knowledge may include object detection in the image, image content recognition
to group images together, and so on.
Navigation for autonomous vehicles using images of the surroundings is one use of
computer vision, such as AutoNav, which was used in the Spirit and Opportunity
rovers that landed on Mars.
Contd...

20.
RECENT RESEARCH TOPICS
Deep learning-enabled medical computer vision
Artificial intelligence for surgical safety: automatic assessment of the critical view of
safety in laparoscopic cholecystectomy using deep learning
An Open‐Source Computer Vision Tool for Automated Vocal Fold Tracking From
Video endoscopy
Contd...

21.
Do you get movie 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
Collaborative Filtering may be
or even
used in a
Recommender System.
The content of all the products
Content-Based Recommendation.
is analysed in
RECOMMENDER
SYSTEMS
Contd...

22.
For example, based on Natural Language Processing performed on the books, you
might be recommended books that you may enjoy.
Collaborative Filtering, on the other hand, analyses your past reading behaviour
and then recommends books based on it.
Contd...

23.
RECENT RESEARCH TOPICS
Artificial intelligence in recommender systems
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender
Systems.
Recommender systems for configuration knowledge engineering

24.
Artificial intelligence 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.
Contd...
INTERNETOF
THINGS

25.
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.
Contd...

26.
RECENT RESEARCH TOPICS
Enhanced Medical Systems by using Artificial Intelligence and Internet of Things
Artificial Intelligence and Internet of Things in Instrumentation and Control in Waste
Biodegradation Plants: Recent Developments
AIoT-Artificial Intelligence of Things

27.
In this blog discussed the recent enhancement for
artificial intelligences and their sub field.
This will help to the PhD scholar who are interested
to research in artificial intelligences domain.
CONCLUSION

28.
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