Sometimes nature does what it does best, even when it comes to computers.
You can grow new brain cells. Here's how | Sandrine Thuret | TED
MIT researchers say they have solved the puzzle of how two neurons interact, unlocking a new class of fast artificial intelligence (AI) algorithms. It’s part of a growing field of research in which studying the brain is helping to create sophisticated new forms of AI.
“Brain research is focused on understanding the communication between individual neurons or groups of neurons and can help us understand natural intelligence,” Rahul Panat, a professor of mechanical engineering at Carnegie Mellon University who was not involved in the MIT research, told Lifewire in an email interview. “Natural intelligence can then be used to develop artificial intelligence.”
The MIT team created a neural network that outperformed state-of-the-art counterparts on a range of tasks, significantly improving speed and performance when recognizing human activity from motion sensors while modeling the physical dynamics of a simulated walking robot, according to a new paper in Nature Machine Intelligence. For example, the new models were 220 times faster on a sample of 8,000 patients on a medical prediction task.
