The document discusses an event to inspire IT students and professionals to demonstrate programming skills. It then provides an overview of artificial intelligence, including its purpose, types, applications, and key areas like machine learning, robotics, neural networks, natural language processing, computer vision, sentiment analysis, biometrics, and data mining. Machine learning algorithms, neural network types, and computer vision applications are also summarized. The document aims to inform about artificial intelligence topics that could be researched for theses.

1. Event Purpose
 Purpose is to inspire young IT Students / Professionals to
demonstrate their programming skills
W e d n e s d a y , 1 3 t h M a r c h 2 0 1 9

2. W e d n e s d a y , 1 3 t h M a r c h 2 0 1 9
Today Topic
Artificial Intelligence

3. Why Artificial Intelligence ?
Studying Artificial Intelligence now can prepare you for a job as a
 software engineer
 researching neural networks,
 human-machine interfaces,
 and quantum artificial intelligence.

4. Applications of Artificial Intelligence
• AI plays an important role in the gaming industry. AI techniques and algorithms
are used for path finding in many video games.
• Speech Recognition is another application of AI in which intelligent systems
can understand and recognize human talks.
• AI has played a great role in healthcare particularly in finding the right
treatment for a particular problem like cancer.
• Artificial Neural Network is used by various financial institutions for financial
trading.
• The applications of robotics are also increasing in areas where there is a risk to
human life.

5. Artificial Intelligence
• Artificial Intelligence is the technology in which human thinking and intelligence are
imposed in machines and computer systems so as to create intelligent systems that can act
and work like human beings

6. Types of Artificial Intelligence
An American professor Arend Hintz has categorized Artificial Intelligence into the following four types:
• Reactive Machines
• Limited Memory
• Theory of Mind
• Self-Awareness

7. Thesis and Research Areas in Artificial Intelligence
Here is the list of interesting areas in artificial intelligence for thesis and research:
• Machine Learning
• Robotics
• Artificial Neural Network
• Natural Language Processing
• Computer Vision
• Sentiment Analysis
• Biometrics
• Data Mining

8. Machine Learning
The whole idea of machine learning is based on the algorithms which are categorized as:
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

9. Robotics
• A robot generally contains a sensor to perceive the environment and actuator to interact
with the environment.
• The robots can be used in areas where it is difficult for human beings to sustain.

10. Robotics
Sophia is a social humanoid robot

11. Artificial Neural Network
• It is a computer-based model and is based on the structure and functions of a biological
neural network.
• It imitates the working of the human brain
• In artificial neural network or ANN
• There are multiple nodes that represent neurons. These nodes are connected to each other
through links just as neurons are connected through axons
There are two types of Artificial Neural Network topologies:
• Feed forward ANN
• Feedback ANN

12. Natural Language Processing
• Natural Language Processing is being used in spell check, sentiment analysis,
translation, financial markets etc.
 Main components
• Natural Language Understanding(NLU)
• Natural Language Generation(NLG)
 Steps in Natural Language Processing:
• Lexical Analysis
• Syntactic Analysis
• Semantic Analysis
• Discourse Integration
• Pragmatic Analysis

13. Computer Vision
• Image acquisition
• Image processing
• Image analysis and manipulation

14. Main Applications of Computer Vision
Computer vision include augmented reality
• Image Restoration
• Motion Recognition
• Biometrics
• Forensics
• Face Recognition
• Robotics
Main algorithms
• Viola-Jones algorithm
• Lucas-Kanade algorithm
• Adaptive thresholding
• Kalman filter
• Image Colorization
Students looking for thesis topics in artificial intelligence can find an
interesting one in computer vision

15. Sentiment Analysis
• Measures people’s viewpoint through Natural Language processing, linguistics, and
text analysis.
• Data Mining process and techniques are used for this purpose to extract and capture
data.
• It is also known as opinion mining.
• Meltwater
• Hootsuite
• Tweetstats
• Marketing Grader
• Google Alerts
• Pagelever
• Semantria
• Rapidminer

16. Biometrics
• Biometrics is a technology used for identification and access control by identifying the
physical and behavioral traits of an individual
• The biometric identifiers are of two types categorized on the basis of
 Physiological characteristics:
Include fingerprints, facial recognition, voice recognition
 behavioral characteristics:
Include walking and other gestures.

17. Data Mining
• Data Mining is the process of extracting information from data by identifying patterns in
large datasets.
• Statistics play a crucial role in data mining process.
• Data Mining has a number of applications, especially in the financial market.