(STUDY FINDS) – Scientists have developed a mathematical model that reveals how the human brain interprets vision with extraordinary accuracy and speed—something that machines have yet to fully achieve. This could pave the way for advancements in fields ranging from artificial intelligence to clinical neurology.
We all know how annoying it can be to enter a series of letters or identify fire hydrants in a series of images when we come across a CAPTCHA security measure online. While it’s usually easy for humans to complete these tasks, machines struggle with them. Why? The researchers argue it’s because the human brain is naturally skilled at something called Bayesian inference.
In simple terms, Bayesian inference is a way of making educated guesses based on previous knowledge. For instance, if you’ve seen a dog before and then encounter a furry, four-legged animal, you’d probably guess it’s a dog. This method helps humans interpret their surroundings quickly and precisely.
