Artificial intelligence entails that the machines are capable of carrying out so-called “smart tasks” and making independent decisions. Machine learning goes a step further – it enables machines to improve themselves as time goes by and as algorithms become more and more sophisticated.
Several groundbreaking innovations were important for the advancement of AI and ML.
The first one was Artur Clark’s approach that instead of teaching machines everything they should know, we should teach them how to learn and improve themselves. Secondly, because the internet and a monstrous amount of data became available worldwide, better learning and modeling of the machine mind became possible.
Up until now, software developers would supply intelligence to a system with their supreme coding skills – a process that is not artificial intelligence. Those were simple software applications with no capabilities of learning.
However, AI is now being used to automate many mundane processes. It can be implemented in all industries that rely heavily on complex data sets: healthcare, banking, retail, business, logistics, and more.
There are various ways that artificial intelligence can be applied along with virtual and augmented reality.
Let’s take a look at some of the most striking examples: