Widely used music algorithms are more likely to recommend and select music by male artists, at the detriment of female musicians. A new study addresses gender disparities in music-based algorithms. Read More
Emotional recognition technology is rapidly growing into a multi-billion dollar industry. Researchers investigate the limitations of new AI technology, and some of the biases within the algorithms, when it comes to identifying human emotions efficiently. Read More
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeurologyNeuroscienceOpen Neuroscience Articles
··6 min readCombining artificial intelligence technology with brain scan data, researchers have identified three novel subtypes of multiple sclerosis. Read More
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AI algorithms used by music streaming services are better at providing accurate recommendations for those who enjoy mainstream music. However, the algorithms often miss the mark when it comes to recommendations for those who listen to non-mainstream musical genres like hip-hop or heavy metal. Read More
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeurologyNeuroscienceNeuroscience Videos
··4 min readCombing gait data from multiple sclerosis patients with machine learning, researchers have developed a new tool to monitor and predict disease progression. Read More
A new study that utilized machine learning tools provides a new map that links genetic signatures to functions across the human brain. Read More
Combining neuroimaging data with artificial intelligence technology, researchers have identified a complex network within the brain that comprehends the meaning of spoken sentences. Read More
While Parkinson's disease is known to generally affect motor function, there is a range of other symptoms associated with the neurodegenerative disease. Some additional symptoms include changes to the skin on the face and problems forming facial expressions. A new AI system is able to detect subtle changes in facial attributes associated with Parkinson's disease. Read More
A newly developed AI tool can identify "deepfakes" of faces by examining the light reflection in the eyes of the images. The system is 94% accurate at detecting deepfakes. Read More
Researchers have identified a connectivity fingerprint that suggests the brain's reading network works across different cognitive domains, even mathematical skills. Read More
Machine learning quickly and accurately identified sugar chains based on electrical signals generated as they passed through tiny holes in a crystal wafer. The technology could reduce the time for sequencing glycosaminoglycan from years to minutes. Read More
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Combining brain activity data with artificial intelligence, researchers generated faces based upon what individuals considered to be attractive features. Read More
