When convolutional neural networks are trained under experimental conditions, they are deceived by the brightness and color of a visual image in similar ways to the human visual system. Read More
Combining EEG brain function data, brain-computer interface technology, and artificial intelligence, researchers have created a system that can generate an image of what a person is thinking. Read More
AI network simulations become unstable following continuous periods of unsupervised learning. When the networks were exposed to states that are analogous to human brain waves during sleep, the stability was restored. Read More
A new machine learning model uses data from the COVID-19 pandemic in conjunction with a neural network and can determine the efficacy of social distancing measures and better predict viral spread. With current quarantine measures in place, the AI model predicts a plateau in coronavirus infections between April 15-20. Read More
Researchers have created a hybrid neural network where biological and artificial neurons in different parts of the world were able to communicate via the internet through a hub of memristive synapses. Read More
A new deep learning algorithm helped researchers identify a powerful new antibiotic compound that kills many of the world's most problematic, disease-causing bacterias, including those which have so far been resistant to common antibiotics. Read More
The lessons learned from developing artificial intelligence networks can help guide researchers down the path of understanding the brain as a computational system rather than a collection of cells. AI technology can help take exploring the human brain, behavior and neurodegenerative diseases to an entirely new level. Read More
A newly developed artificial neural network allowed researchers to insert inhibitory circuits into the model, altering the excitatory circuits and enabling them to extend associative memory. Read More