We trust our computers to handle our to-do lists and calendars because they never forget, right? While computers are good at remembering what we tell them (and a big thank you to Google for remembering my kids’ birthdays), one of the current weaknesses of artificial intelligence (AI) is that it cannot apply what it learns in a different scenario. For example, an AI that learns to play chess does not have a leg up when learning to play checkers. Essentially, computers have a “catastrophic forgetting” problem that forces them to relearn what they already knew just because they are presented with a new project.
Researchers are now making breakthroughs to overcome this ‘forgetfulness’ problem. Working in connection with neuroscientists, researchers are attempting to have AI learn more like humans so they can apply what they have learned in one context to another related context without starting over. In other words, teach computers to learn more like humans do so they stop forgetting what they already learned.