There is no denying to the fact that Artificial Intelligence is going to have a tremendous effect in our daily life. In fact, its applications have already made their presence felt across the world. In the coming time, this technology will be implemented in almost every application and device. All the big companies of the world are investing a lot for the research and development of AI. Talking about academics, there are a number of topics in artificial intelligence for thesis and research. Before going into that, let us discuss what exactly is 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 as human beings. Simply meaning, AI implements human intelligence in machines. The concept of AI is based on the use of specially designed algorithms and revolves around the following traits:
- Problem Solving
An AI system comprises an agent and the environment. An agent is the one that perceives its environment through sensors and acts in that through actuators. The agents, also known as intelligent agents, are of the following four types:
- Simple Reflex Agents
- Model-Based Reflex Agents
- Goal-Based Agents
- Utility-Based Agents
Types of Artificial Intelligence
Artificial Intelligence can be classified into a number of ways based on algorithms, implementation, and tasks to be performed. One such classification is Weak AI and Strong AI.
Weak AI – Weak AI, also known as narrow AI, is designed for one narrow task.
Strong AI – Strong AI has human cognitive abilities to perform unfamiliar tasks.
An American professor Arend Hintz has categorized Artificial Intelligence into the following four types:
- Type 1: Reactive Machines
- Type 2: Limited Memory
- Type 3: Theory of Mind
- Type 4: Self-Awareness
Applications of Artificial Intelligence
There are a number of applications of Artificial Intelligence some of which are:
- AI plays an important role in the gaming industry. AI techniques and algorithms are used for pathfinding in many video games.
- Speech Recognition is another application of AI in which intelligent systems can understand and recognize human talks.
- AI has the face recognition technology, as it is capable of identifying and verifying a person from a digital source.
- 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.
Thesis and Research Areas in Artificial Intelligence
Students looking for hot topics in artificial intelligence for thesis and research can work on any one of the following areas in artificial intelligence. Here is the list of interesting areas in artificial intelligence for thesis and research:
- Machine Learning
- Artificial Neural Network
- Natural Language Processing
- Computer Vision
- Sentiment Analysis
- Data Mining
Machine Learning is currently the major application of AI. It is also a hot topic for thesis and research in AI. It is widely believed that machine learning and artificial intelligence are one and the same thing but it is not so. We can say that Machine Learning is an approach to Artificial Intelligence. Often these two terms are used interchangeably. Machine Learning gives systems the ability to learn automatically from the experience without being programmed explicitly. Students looking for hot topics in artificial intelligence can definitely find a one in machine learning. The whole idea of machine learning is based on the algorithms which are categorized as:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
In machine learning, the algorithms receive an input value and use historical data to predict the output. Deep Learning is the subfield of Machine Learning just as Machine Learning is a subfield of Artificial Intelligence
Robotics is another popular field for research in artificial intelligence. It is a mixture of mechanical, electronics, and computer science engineering. It deals with the construction of robots that can act and work like human beings. 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. It finds its application in manufacturing industries, space exploration, healthcare, military, and many more. AI plays an important role in robotics in perception, reasoning, learning, decision making. These are the binding pillars of human-robot interaction. Robots have the ability to learn from their experience. Choose this field if you have interest in robots and their working.
Artificial Neural Network
It is yet another trending research area in AI. 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. A biological neural network consists of nerve cells known as neurons connected to other nerve cells via axons. A neuron can communicate to the other neurons. 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. A weight is associated with each link. There are two types of Artificial Neural Network topologies:
- Feedforward ANN
- Feedback ANN
There are three interconnected layers in ANN. The first layer consists of the input neurons. These neurons send data to the second layer. The second layer sends output neurons to the third layer. ANN has various applications including computer vision, speech recognition, medical diagnosis, and machine translation. There are various ideas for thesis and research in this area.
Natural Language Processing
Natural Language Processing is a field of artificial intelligence that provides computers the ability to analyze and interpret human languages. There are various techniques for interpreting human language that uses statistical and rule-based algorithms. It gives computers the ability to understand human speech. Natural Language Processing is being used in spell check, sentiment analysis, translation, financial markets etc. Statistics combined with deep learning are used in NLP algorithms. There are two main components of Natural Language Processing:
- Natural Language Understanding(NLU)
- Natural Language Generation(NLG)
Following are the main steps in Natural Language Processing:
- Lexical Analysis
- Syntactic Analysis
- Semantic Analysis
- Discourse Integration
- Pragmatic Analysis
Computer Vision is an important research area in Artificial Intelligence. It is a field that aims at providing human vision to computer systems. The process of computer vision is based on the following three steps:
- Image acquisition
- Image processing
- Image analysis and manipulation
The main applications of computer vision include augmented reality, image restoration, motion recognition, biometrics, forensics, face recognition, robotics to name a few. Following are the main algorithms used in computer vision:
- 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.
Sentiment Analysis is a process that 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. Sentiment Analysis is important for businesses and brands to find out what customers think about that particular brand. There are certain tools for sentiment analysis some of which are:
- Marketing Grader
- Google Alerts
Sentiment Analysis mainly finds its application in social media monitoring to have an overview of the public opinion. Valuable insights can be extracted from the social data.
Biometrics is a technology used for identification and access control by identifying the physical and behavioral traits of an individual. It is also a good research area in artificial intelligence. The biometric identifiers are of two types categorized on the basis of physiological characteristics and behavioral characteristics. Physiological characteristics include fingerprints, facial recognition, voice recognition while behavioral characteristics include walking and other gestures. This technology is widely used in corporate and public security systems.
A biometric system includes:
- A sensor to collect data and change it into a useful format
- A biometric template
- A decision process
The main applications of biometrics technology include logical access control, physical access control, time and attendance, and surveillance.
Data Mining is one of the newest technologies that provide a base to the artificial intelligence and machine learning. The main application of data mining in artificial intelligence is to process and evaluate the collected data. AI and data mining techniques have been used in combination to solve problems of classification, segmentation, association, and prediction. 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. There are a number of thesis topics in artificial intelligence related to data mining.
These were the trending areas in artificial intelligence for M.Tech thesis and research. The latest thesis topics in artificial intelligence are given below.
Latest Thesis Topics in Artificial Intelligence
Here is the list of latest thesis topics in Artificial Intelligence as well as for research:
- The classification technique for the face spoof detection in artificial neural networks
- The iris detection and reorganization system using classification and glcm algorithm
- The pattern detection system using an algorithm of textual feature analysis and classification
- The plant disease detection using glcm and KNN classification in neural networks
- To propose a technique for the prediction analysis in data mining
- The sentiment analysis technique using SVM classifier in data mining
- The heart disease prediction using a technique of classification
These are the topics on which you can work. You can contact us for any kind of thesis-related help on any of these topics.