A new AI algorithm can detect behavioral symptoms associated with anxiety with over 90% accuracy.
Researchers report Xenobots, a computer-designed, hand-assembled organism can find and gather single cells, and assemble “baby” Xenobots. After a few days, the immature Xanobots can also find cells and replicate themselves.
A new AI algorithm recognizes the complex range of emotions invoked when people listen to pieces of music.
New artificial intelligence technology reveals previously unknown cell components. The findings may shed new light on human development and diseases.
A newly developed AI algorithm can directly predict eye position and movement during an MRI scan. The technology could provide new diagnostics for neurological disorders that manifest in changes in eye-movement patterns.
When chatbots are faced with human interaction containing similes and idioms, their performance falls to between 10 to 20%.
Enabling social skills in robots could lead to smoother, more positive human-robot interactions, researchers say.
Artificial intelligence sheds new light on how the brain processes language. Researchers report the human brain may use next word prediction to drive language processing.
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 painting of a naked woman by Picasso has been hidden under one of his “Blue Period” works for almost a century. With the help of artificial intelligence, researchers have been able to reproduce the lost painting.
Relating machine learning to biological learning, researchers say while the two approaches aren’t interchangeable, they can be harnessed to offer insights into how the human brain works.
Study reveals why human brains are so good at learning. The findings could help with the development of more efficient AI models.
A new AI algorithm can successfully predict which children with microdeletion of chromosome 22 will develop schizophrenia and other mental health disorders later in life.
A new algorithm uses neuroimaging data of amyloid levels in the brain and takes into account a person’s age to determine when a person with genetic Alzheimer’s risk factors, and with no signs of cognitive decline, will develop the disease.
A new deep learning algorithm identified key features underlying success in the art world. Researchers report a link between exploration and exploitation was associated with artistic success.
Machine learning algorithm produced fewer decision-making errors than professionals when it came to clinical diagnosis of patients.
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 AI algorithm can predict the onset of Alzheimer’s disease with an accuracy of over 99% by analyzing fMRI brain scans.
A new artificial intelligence algorithm analyzes personal risk factors to accurately predict stroke recurrence in patients.
A new AI algorithm can independently discover and categorize an animal’s behavior by analyzing patterns of body movements.