Friends influence each other in their opinion of many aspects of life. In this video we describe how the level of connectedness in a social network relates to the extent in which individuals in it influence each other.
The story goes as follows, during the last couple of decades many scientists, universities, and tech giants like IBM, Microsoft, and Google have invested largely in building this advanced machine called a quantum computer. Such a computer will be able to perform quantum computations, which rely on qubits instead of ordinary bits. The major challenge when you want to use such a qubit is that it is very unstable, and stable qubits are essential to have a proper quantum computer.
An echo chamber is a community wherein the same opinions are bounced around, endlessly ‘echoing’ with barely any change. And as they do, any other opinion is shunned, pushed aside, and eventually just rejected without consideration.
Applications of machine learning models are everywhere, with many online platforms and major science fields using tools relying on machine learning. Take, for example, image recognition and computer vision. But did you know that the results of supposedly perfect and accurate machine learning models can be deceived by slight perturbations in the data?
In this article, dear reader, I am going to show you in which way the development of your opinion during the last political issue, the spread of a virus among your acquaintances during the current pandemic, and the alignment of some particles lying inside the device from which you are reading this article are extremely comparable phenomena.
