I rewrote your intro for clarity and accuracy.
We made a fake news detector with above a 95% accuracy on (a validation set) that uses sophisticated algorithms developed with and employing advanced statistical and mathematical methods and models to process huge amounts of input data and outputting information in the form of more data, or predictions, or whatever as determined by their programming. In other words, computing as it has been done for the past 5–15 years depending on whom you ask. The fact that these algorithms purport to mimic the (theoretical) process used by the human brain in learning does not change the fact that it is still computing. In fact there many competing theories about how exactly the human brain learns, all of which have some valid claim to be the “correct” one. Unless somehow programmers have more knowledge of how the human brain learns than neuroscientists, they have not programmed a machine to learn anything. Another big problem is that machines can’t learn. The term itself is a logical contradiction and it is logically impossible. Finally, even though Artificial intelligence does not exist and may never, the computer program I used to analyze the data had some natural language processing techniques built into the code, so that was pretty cool. In any event my computer did a pretty good job sniffing out fake news. That thing can definitely compute once you give it the right code, software, and input data. Amazing what computers can do these days.