The Computer Scientist Trying to Teach AI to Learn Like We Do

Artificial intelligence algorithms are designed to learn in fits and starts. Instead of continuously updating their knowledge base with new information over time as humans do, algorithms can learn only during the training phase. After that, their knowledge remains frozen; they perform the task they were trained for without being able to keep learning as they do it. To learn even one new thing, algorithms must be trained again from scratch. It's as if every time you met a new person, the only way you could learn her name would be to reboot your brain.