Enabling social skills in robots could lead to smoother, more positive human-robot interactions, researchers say.
Applying AI technology, researchers teach a robot to make appropriate reactive human facial expressions. Scientists say this could help build trust between humans and the humanoid robots they interact with.
Combining artificial intelligence technology with data sets related to both Alzheimer's and COVID-19, researchers were able to identify a mechanism by which coronavirus can lead to Alzheimer's-like symptoms. The findings add to the growing body of evidence that COVID-19 infection can have lasting effects on brain function.
Analyzing patient data, artificial intelligence technology was able to predict mortality risk from COVID-19 infection with 90% accuracy.
Using big data, researchers have developed a new computer algorithm capable of analyzing genetic and pharmacological information to suggest new treatment options for neuroblastoma.
Combining artificial intelligence technology with raw data from brain activity, researchers accelerate the understanding of how neural activity impacts specific behaviors.
A combination of computer and human intelligence may be what we need to help solve the world's most pressing problems, from climate change to geopolitical conflict, a new study reports.
Findings allow for the development of an autonomously updating brain-machine interface, which is able to improve on its own by learning about its subject without additional programming. The system could help develop new robotic prosthetics, which can perform more naturally.
Streaming drama series, "13 Reasons Why" has been linked to a substantial increase in internet searches for terms associated with suicide.
Novel AI technology allows researchers to understand which brain regions directly interact with each other, which helps guide the placement of electrodes for DBS to treat neurological diseases.
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.
Researchers found differences in cells types between 16 regions of the brain during development may be key in determining whether genetic risks translate into disorders like ASD, schizophrenia or bipolar disorder.
