The human brain is nature’s most powerful processor, so it’s not surprising that developing computers that mimic it has been a long-term goal. Neural networks, the artificial intelligence systems that learn in a very human-like way, are the closest models we have, and now Stanford scientists have developed an organic artificial synapse, inching us closer to making computers more efficient learners.
The “off-switch” could help scientists develop treatments for patients with some brain diseases.
Scientists have essentially developed an “off-switch” for the brain by using light pulses to effectively shut down neural activity.
At the Tokyo Institute of Technology researchers with the Hasegawa Group have created a robot that is capable of applying learned concepts to perform new tasks. The Self-Organizing Incremental Neural Network (SOINN) uses a type of self-replicating neural technology. The research team has released a video demonstrating the robot’s ability to understand it’s environment and to carry out instructions that it previously didn’t know how to do.