Artificial intelligence helps shed new light on why many with autism have a difficult time when it comes to processing emotions via facial expressions.
A new artificial intelligence algorithm trained using the soundscapes of both healthy and degraded reefs can determine reef health 92% of the time.
Using AI to analyze language associated with depression on social media during the first wave of the COVID-19 pandemic, researchers found people were more resilient than previously thought.
Before the 48-week mark of life, it is easier for an AI algorithm to determine the exact age of a baby, but not its gender based on temperament data. After 48 weeks, gender classification improved for all algorithms, suggesting gender differences in infancy become more accentuated at this point in life.
Experimental observations conclude learning is mainly performed by neural dendrite trees as opposed to modifying solely through the strength of the synapses, as previously believed.
A new deep learning algorithm is able to quantify arousal and awareness in humans at the same time.
A new deep learning algorithm utilizes neuroimaging data to differentiate between Parkinson's disease and other parkinsonian syndromes such as PSP and multiple systems atrophy.
Using MEG data, a new AI algorithm called AI-MIND is able to assess dementia risk and the potential effectiveness of treatments for depression, researchers say.
Researchers have developed a new AI algorithm that prevents smart devices such as Alexa or Siri from correctly hearing your words 80% of the time. The algorithm is a step toward providing personal agency in protecting the privacy of their voice in the presence of smart devices.
A new AI algorithm assesses risk factors across three domains to predict the risk of children developing conduct disorders with a high degree of accuracy.
Researchers trained an AI to determine which psychotropic agent a zebrafish had been exposed to based on the animal's behaviors and locomotion patterns.
A new AI algorithm can predict whether a person is on the autism spectrum by examining their brain scans. The algorithm can also predict the severity of symptoms and could be used as an early detection tool for ASD.
