Most AI models are unable to represent features of human vision, making them worse at recognizing images.
Using artificial neural networks to analyze neuroimaging data, researchers are able to accurately determine biological age.
Researchers say they have created the most bio-realistic and complex computer models of individual brain cells.
Researchers used classic fables and short stories with moral implications to test and assess human-like reasoning in artificial intelligence.
A new AI algorithm used fMRI data to identify novel brain patterns linked to mental health disorders.
A new artificial neural network aced a wine tasting test and promises a less energy-hungry version of artificial intelligence, researchers report.
Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.
Artificial intelligence can understand complex words and concepts by representing the meaning of words in a similar way that correlates with human judgments.
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.
