Pilot study opens new possibilities for AI to enhance cognitive performance
A new deep learning system, dubbed, CURATE.AI, creates individualized profiles for training can be customized to improve cognitive performance.... Read More...
artificial intelligence
Like A Lot of Things, Women’s Gut Microbiomes Appear to Mature Earlier than Men’s
Young women have higher gut bacteria diversity than males, study reports. ... Read More...
New AI Sees Like a Human, Filling in the Blanks
A new deep learning system takes glimpses of its surroundings, representing less than 20% of a 360-degree view and infers the rest of the environment. ... Read More...
Twitter image colors and content could help identify users with depression, anxiety
Combining artificial intelligence and computer vision technology, researchers were able to determine anxiety and depression risks from peoples' Twitter profile pictures.... Read More...
Artificial intelligence tool vastly scales up Alzheimer’s research
A convolutional neural network algorithm is able to process an entire whole brain slice slide with 98.7% accuracy. The technology could help speed up the diagnosis of Alzheimer's disease.... Read More...
Room for thought: Brain region that watches for walls identified
MEG neuroimaging implicates the occipital place area (OPA) in our ability to rapidly sense our surroundings. The findings may advance improving machine learning and robotics technology aimed at mimicking visual processes in the human brain.... Read More...
“Number sense” arises from the recognition of visible objects
Results from a new artificial intelligence study indicate number sense is spontaneously created by the visual system, without prior experience of counting.... Read More...
Smarter training of neural networks
Researchers report artificial neural networks contain subnetworks that are considerably smaller, yet capable of being trained to make equally accurate predictions. Many subnetworks can learn to make accurate predictions much faster than the original networks.... Read More...
AI can detect depression in a child’s speech
An auditory-based machine learning algorithm was able to identify children diagnosed with depression and anxiety with 80% accuracy after analyzing recordings of their speech. The algorithm identified eight audio features that signify a higher risk of depression. Of these, a lower pitch of voice, repeatable speech inflections and a higher pitch response to surprise stimuli, were more indicative of depression. Researchers hope to develop a smartphone app that records and analyzes speech immediately, helping to better detect children at risk of internalizing disorders.... Read More...
Dataset bridges human vision and machine learning
BOLD5000, a new, large scale data set of brain scans of people viewing images, is helping researchers to better understand how the brain processes images. The data set is a big step towards using computer visual models to study biological vision.... Read More...
Artificial intelligence reveals what neurons in the visual cortex prefer to look at
A new deep learning algorithm can reliably determine what visual stimuli neurons in the visual cortex respond best to.... Read More...
Artificial neural networks can be used to drive brain activity
Current deep learning models are able to create images strongly enough to activate specific neurons in the visual cortex. However, researchers say more accurate artificial neural network models should be developed to help produce more accurate control.... Read More...