Brain Cell Differences Could Be Key to Learning in Humans and AI - Neuroscience News

Summary: Study reveals why human brains are so good at learning. The findings could help with the development of more efficient AI models. The new study found that by tweaking the electrical properties of individual cells in simulations of brain networks, the networks learned faster than simulations with identical cells. They also found that the networks needed fewer of the tweaked cells to get the same results, and that the method is less energy intensive than models with identical cells. The authors say that their findings could teach us about why our brains are so good at learning, and might also help us to build better artificially intelligent systems, such as digital assistants that can recognise voices and faces, or self-driving car technology.