MIT Researchers Reveal How the Brain May Learn Like AI

In groundbreaking research, MIT scientists have uncovered evidence suggesting that the human brain may learn about the world using methods strikingly similar to those used by advanced artificial intelligence models. Specifically, their work highlights the brain’s ability to perform a type of “self-supervised learning” — a machine learning technique where systems learn to predict missing information from raw data without direct human guidance.

The research, detailed in two recent studies, bridges neuroscience and AI, proposing that our brains develop understanding by predicting sensory input patterns, much like how AI models process vast amounts of data to recognize images or sounds. This insight could fundamentally reshape how we approach both brain science and AI development.

By better understanding the parallels between biological and artificial intelligence, these findings pave the way for improved AI systems that mimic human learning and cognition more naturally.

For more details, read the full MIT article here: The brain may learn about the world the same way some computational models do.