As scrutiny over social networks’ “black box” recommendation algorithms reaches a fever pitch, Facebook, YouTube, and others are introducing controls that promise greater customization and transparency over the content populating feeds.
Using a combination of neuroimaging, genetic research, epigenetics and other biological data in conjunction with artificial intelligence may result in a biological classification of mental illness, rather than diagnosing people based on symptoms alone.
As social robotics is becoming more popular, researchers explore how people react to the technology. They report people show significantly stronger liking to faulty robots than those that interact perfectly.
Researchers report a convolutional neural network has been used to decode brain signals from EEG data. Scientists believe deep learning systems could be important tools for neuroscience analysis and could help revolutionize brain research.
Researchers applied a computer algorithm to 3D facial images of children diagnosed with ASD. The algorithm detected both males and females with autism had more masculine features than children not on the spectrum.