Many aspects in our daily life can be displayed as a network consisting of elements and the connections between them. This is explained in a playful manner in this video.
One of the main building blocks of modern AI-tools are artificial neural networks, abstract models inspired by the structure and functions of biological neural networks which enable machines to "learn". In this article, I will discuss some thoughts on this topic.
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?
We want our guts to be filled with a diverse range of mutually beneficial and competitive interactions, a perfect blend of friends, frenemies, and enemies to keep our guts active and body on its toes. Read how networks can help understand these interactions!
During the last decades, many resources have been invested in quantum computing. This research field has grown immensely and amazing results have been obtained. The plans for the future are highly ambitious, but at the same time, there are serious questions that need to be addressed.