Machine learning (ML) is a subset of artificial intelligence that uses computer algorithms to improve automatically through experience. What if a program could adapt a graphical interface to your liking by using machine-learning technology? Well, this is what some companies are already doing. If a machine-learning program can learn from user behaviors, that is precisely why combining UX and machine learning makes sense. But it’s not as simple as it might sound. In this article, we will try to understand the challenges of machine-learning product design and how to overcome them.
Gone are the days where you would break out in a cold sweat when receiving an email written in a foreign natural language. Now you simply open your preferred web browser, call up your favorite machine translation app and, hey presto, you have a somewhat comprehensible translation at your fingertips.
Three years ago, neural network-based translation appeared to give better results than anything researchers developed within the last twenty years. The sentences sound a lot more natural compared with previous translation methods.