Articles tagged with Cognitive Robotics
A new study by USC researchers uses GANs to generate synthetic neurological data that can be fed into machine-learning algorithms to improve BCI usability. This approach improved BCI training speed by up to 20 times and enabled rapid adaptation to new subjects.
Scientists developed a machine learning method to analyze NMR data, allowing faster and more accurate analysis of proteins and chemical reactions in the human body. The method uses an artificial deep neural network to separate and analyze complex data, resulting in highly reproducible results comparable to human experts.
Researchers are decoding neural activity to translate brain signals into prosthetic limb movements, potentially empowering paralyzed patients to regain control. The technology involves implanting electrodes in the brain and using computer algorithms to interpret neural patterns.