Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.
A new artificial intelligence model automatically learns higher-level language patterns that can apply to different languages, enabling it to achieve better results.
Engaging young children in conversation helps boost language development, researchers report.
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.
Artificial intelligence can understand complex words and concepts by representing the meaning of words in a similar way that correlates with human judgments.
OpenAI's ChatGPT program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia.
A newly developed artificial intelligence algorithm can accurately detect sarcasm in comments written on social media platforms.
When chatbots are faced with human interaction containing similes and idioms, their performance falls to between 10 to 20%.
Researchers improved the performance of natural language processing technology to increase recognitionion of names associated with characters in Game of Thrones, and other literature, from 7% to 90%.
