A new deep learning system is able to predict, with great accuracy, how different brain areas respond to specific words. The model also found concepts localized to the auditory cortex are less dependent on context.
Researchers at MIT have developed a new deep learning neural network that can identify speech patterns indicative of depression from audio data. The algorithm, researchers say, is 77% effective at detecting depression.
A new computer algorithm may help to identify sexual predators who target children in chatrooms. The algorithm, dubbed CATT, can identify language differences and self-disclosure in conversations to provide a risk assessment of potential predators, researchers report.