Artificial intelligence has changed a lot since it was invented in 1955. One of the biggest shifts happened in the 1990s, when neural networks were implemented. They allowed AIs to encode information or “learn” just like the human brain, absorbing data, gathering observations, and making inferences.
Neural networks are the reason why AI image generators are getting better as more people use them. But these networks are accomplishing so much more behind the scenes, including making it easier to identify diseases, administer pesticides, and forecast crop harvests. Neural networks are also helping us find new uses for old things, such as medications.
But there are worries surrounding AI, too – including how we, as humans, view reality and our place in it. For a full discussion of where we’ve been and where we’re going, check out our Instaread on The Age of AI.
