Wolfram Computation Meets Knowledge

Wolfram Summer School


Narine Manukyan

Summer School

Class of 2010


I was born in Yerevan, Armenia in 1987 into a family of scientists. I got my bachelor’s degree in informatics and applied mathematics at Yerevan State University. After graduating with a “red diploma” (diploma of excellence), I continued my education at the same school for my master’s degree in information technology management. In 2009, I got accepted to five schools around the world for graduate studies. After participating in NKS Summer School in 2008, I chose to attend UVM because of its great faculty in complex systems. I love what I do and I do what I love. My work is my hobby, but I also spend a lot of time hiking, skating, swimming, climbing, and hanging out with friends.

Project: Detecting Nonsense in Random Inputs Using Artificial Neural Networks or Validation of Letter Sequences

On the web, there are many different search engines (such as Google), and there is now also a computation engine (Wolfram|Alpha). These engines all take input from users and attempt to interpret that input. The following question immediately arises: Can an engine detect whether or not an input is nonsense (produced by randomly banging on the keyboard, for example), or whether it is meaningful in some language? Of course, a string of symbols that seems random in one language might be meaningful in another.

In this project, we explore the use of artificial neural networks to classify different inputs as belonging to a particular language or as being typed randomly on a keyboard of a particular nationality.

Favorite Four-Color Totalistic Cellular Automaton

Rule 829721 and 810481