When an app claims to be powered by “artificial intelligence” it feels like you’re in the future. What does that really mean, though? We’re taking a look at what buzzwords like AI, machine learning, and neural networks really mean and whether they actually help improve your apps.
Just recently, Google and Microsoft both added neural network learning to their translation apps. Google said it’s using machine learning to suggest playlists. Todoist says it’s using AI to suggest when you should finish a task. Any.do claims its AI-powered bot can do some tasks for you. All that’s just from last week. Some of it is marketing fluff to make new features sound impressive, but sometimes the changes are legitimately useful. “Artificial intelligence,” “machine learning,” and “neural networks” all describe ways for computers to do more advanced tasks and learn from their environment. While you may hear them used interchangeably by app developers, they can be very different in practice.