October is the breast cancer awareness month. Cancer is classified as a genetic disease caused by the abnormal cell division that destroy body tissue. Wait! Cell? Body tissue? Disease? So now you might be wondering: what does this have to do with computers?
In fact, cancer research has been in the heart of life sciences for the past few decades. Since genetics play an important role in most cancers, computational methods are crucial in understanding the development of the disease as well as predicting the results of clinical trials for treatment. That’s where computer science comes into action.
Before we define the computational problem, let’s review some biology from high school and learn some facts about cancer.
Our human body consists of trillions of cells. Although each cell has the exact same DNA all over your body, every cell carries out its own function. The DNA is a long sequence of nucleotides preserved inside a cell nucleus.
Photo adapted from: The Fatal Lover, Mata Hari (2016) watch online 1080
People tend to stay away when they hear the word “Quantum Computing”. The word itself gives the feeling that it targets scientists or physics researchers, but not your average person scrolling down in their newsfeed. However, quantum computing increasingly becomes more mature to kill its reputation as a hard field. Understanding quantum computing requires as much imagination as math or physics knowledge. In this post, I’m going to briefly spark your imagination about the next generation of computers and give you a glimpse of how IBM makes the experience accessible through your web browser; not access-restricted physics labs.
What is Quantum Computing?
Perhaps you are reading this blog post from your desktop, laptop, tablet or smartphone. All of these devices run on a traditional computer (or what we call: classical computer). Every piece of tech gadget you are using nowadays uses the concepts of classical computing. But what are classical computers and how are they different from quantum computers? Continue reading →
At the University of Connecticut, undergraduate students majoring in Computer Science studied Google’s PageRank algorithm as a practice on stochastic processes and their applications. After their research on the algorithm along with other search techniques that Google uses to rank websites, they have come up with some cool, and easy-to-implement, tips for website owners to organically increase their website rank. As the TA for that class, I felt thrilled with their awesome submissions and wanted to share some of their work on this study.
42 tips to increase your website’s rank based on understanding Google’s PageRankContinue reading →
Python is a very powerful programming language that understands structural, functional and object oriented programming paradigms. New comers to Python from other languages tend to carry with them their mother (programming) tongue culture. Although they achieve the required task, they might have fallen in the trap of using Python the wrong way. In this post, we cover some efficient tricks to achieve tasks in Python; we call it the Pythonic way. Find an IPython Notebook for all tricks here on our GitHub repository.
Intelligent Systems, Artificial Intelligence, Smart Recommenders, Machine Learning and the list of endless fancy words that popup here and there over websites will always have a mystery behind. Over the past few years, we have witnessed great advancements in computer systems. Computers can now take over tasks that we, humans, never thought a computer would be able to do – including tasks that no human brain can efficiently and quickly perform such as looking through thousands of text files and drawing connections between them, reading millions of medical papers and connecting genes to potential diseases. The latter is the job of IBM Watson’s Discovery Advisor, a tool for researchers.
This way it seems that many researchers around the world strive to build computers that can substitute humans completely. The question that arises is: are we going to see computer brains that completely mimic human brains? In our post today, we cover some basics of the research in this direction trying to figure out an answer for the million cells question ..