"Rather than being programmed to anticipate every possible answer or action needed to perform a function or set of tasks, cognitive computing systems are trained using artificial intelligence (AI) and machine learning algorithms to sense, predict, infer and, in some ways, think." This source provides a method for the bottom-up approach to AI, which is letting the computer learn like an infant instead of teaching it how to respond to certain cases. Cognitive computing will most likely be mentioned in our project when we talk about the technological singularity. This article is trustworthy because it is written by IBM, one of the world innovators in technology and computing.

"Top-down and bottom-up are both strategies of information processing and knowledge ordering, used in a variety of fields including software, humanistic and scientific theories (see systemics), and management and organization. In practice, they can be seen as a style of thinking and teaching." This article gives information about the two ways to approach artificial intelligence: top-down, which is teaching the robot all of the rules of intelligence from the beginning, and bottom-up, which is making the computer learn like a human instead of teaching it everything. This source is reliable because it cites where it got its information.

"The growing power of computer vision is a crucial first step for the next generation of computing, robotic and artificial intelligence systems. Once machines can identify objects and understand their environments, they can be freed to move around in the world. And once robots become mobile they will be increasingly capable of extending the reach of humans or replacing them." This source is useful because it give some good background information on artificial intelligence and also an idea of what it will be like in the near future. The information from this article will be used in our project when we present what AI is like today and how it is quickly expanding. The facts and knowledge from this article are credible because it is from an official news source, the New York Times. This article is also reliable because it contains real quotes from real scientists studying AI.