People have trouble distinguishing between real people's faces and AI StyleGAN2 synthesized faces. People also consider AI-generated faces to be more trustworthy.
A new machine-learning algorithm is able to teach itself to smell within a few minutes of training. As it learns, the system builds an artificial network that mimics the brain's olfactory system.
A new AI algorithm can predict the onset of Alzheimer's disease with an accuracy of over 99% by analyzing fMRI brain scans.
Researchers discuss different current neural network models and consider the steps that need to be taken to make them more realistic, and thus more useful, as possible.
Artificial neural networks modeled on human brain connectivity can effectively perform complex cognitive tasks.
Artificial neural networks help researchers uncover new clues as to why people on the autism spectrum have trouble interpreting facial expressions.
A new deep learning algorithm is superior to human experts in distinguishing between retinal ganglion cells in healthy patients and in those with glaucoma. The AI system could potentially help improve the diagnosis of both eye and brain diseases.
A new algorithm is allowing researchers to develop soft robots that are better able to collect useful information about their surroundings.
A new machine-learning algorithm is more accurate at determining personality traits based on selfie photographs than humans are.
Study reveals anesthesia activated neurons have been discovered in the hypothalamus. Activation of AANs promotes slow-wave sleep, extending the effects of anesthesia, while inhibition of AANs shortens the duration of general anesthetics and disrupts natural sleep.
Researchers report they have successfully and immediately restored volitional movement in two paralyzed people with the help of spinal cord stimulation. Additionally, the stimulation helped to reduce hypotension in the patients.
