The ontogenesis of machines into sentient beings is a direct consequence of the machine’s ability to learn, react and adapt to the changes in its environment. My goal is to use machine learning and artificial intelligence to create perceptive systems and solutions that are scalable, replicable and sustainable.
My decision to study machine learning and AI is a culmination of my experience in a multitude of fields. My tryst with computers began in high school when we were asked to develop software that made learning enjoyable. By virtue of being a student, I knew that in order for a concept to be better understood it was necessary for the teaching methods to be interactive. Therefore I developed software in C++ that used visual aids which made …show more content…
I was given an opportunity to remedy this situation when I was offered an internship with a ‘start up’ - Geazy technologies where I was given the freedom to learn from my own mistakes and failures. I worked on the server side programming of their app ‘Townwala’ that informs the user about the various events occurring in his vicinity. I worked on an xml generator that converts data entered in an excel sheet into xml and updates the application on a weekly basis. At the end of the internship, I was well acquainted with the nuances of client and server side programming in Java. More importantly, I learned about the planning and coordination involved in building a multi-part industry ready system with a team of people with diverse skills. I was able to watch first-hand the software development lifecycle at work and it was personally very rewarding to see the launch of an application that I had worked on from …show more content…
The application recognized the individual by his gait pattern and recorded when the individual entered the university. During the course of this project I learned to be independent, to communicate my observations and seek feedback and assistance when it was necessary. Looking back at my other projects, I realized that for a system to truly be sustainable and scalable while being socially relevant, it was absolutely vital for it to be intelligent. It was also essential that the system understand and gauge the emotions of human beings based upon their responses and adapt accordingly.
The extent of intelligence that a system possesses determines its structure, complexity and serviceability: just imagine creating an artificial intelligence system that provides an equal opportunity to the infirm by assisting them, working in tandem with them and rendering their handicap obsolete. I believe the outcome of my research will spawn such systems that are also replicable and easily flex to accommodate future needs. For this, I’m confident that pursuing a doctorate in machine learning followed by practical research in the area of artificial intelligence will help me build such futuristic
My decision to study machine learning and AI is a culmination of my experience in a multitude of fields. My tryst with computers began in high school when we were asked to develop software that made learning enjoyable. By virtue of being a student, I knew that in order for a concept to be better understood it was necessary for the teaching methods to be interactive. Therefore I developed software in C++ that used visual aids which made …show more content…
I was given an opportunity to remedy this situation when I was offered an internship with a ‘start up’ - Geazy technologies where I was given the freedom to learn from my own mistakes and failures. I worked on the server side programming of their app ‘Townwala’ that informs the user about the various events occurring in his vicinity. I worked on an xml generator that converts data entered in an excel sheet into xml and updates the application on a weekly basis. At the end of the internship, I was well acquainted with the nuances of client and server side programming in Java. More importantly, I learned about the planning and coordination involved in building a multi-part industry ready system with a team of people with diverse skills. I was able to watch first-hand the software development lifecycle at work and it was personally very rewarding to see the launch of an application that I had worked on from …show more content…
The application recognized the individual by his gait pattern and recorded when the individual entered the university. During the course of this project I learned to be independent, to communicate my observations and seek feedback and assistance when it was necessary. Looking back at my other projects, I realized that for a system to truly be sustainable and scalable while being socially relevant, it was absolutely vital for it to be intelligent. It was also essential that the system understand and gauge the emotions of human beings based upon their responses and adapt accordingly.
The extent of intelligence that a system possesses determines its structure, complexity and serviceability: just imagine creating an artificial intelligence system that provides an equal opportunity to the infirm by assisting them, working in tandem with them and rendering their handicap obsolete. I believe the outcome of my research will spawn such systems that are also replicable and easily flex to accommodate future needs. For this, I’m confident that pursuing a doctorate in machine learning followed by practical research in the area of artificial intelligence will help me build such futuristic