Machine Learning Reads Speech to Detect Cognitive Impairment in Schizophrenia
A machine learning analysis of Korean speech shows that reduced lexical richness, syntactic complexity, semantic coherence, and sentiment polarity distinguish ...
A machine learning analysis of Korean speech shows that reduced lexical richness, syntactic complexity, semantic coherence, and sentiment polarity distinguish ...
A new book by University of Illinois professor John Gallagher draws on interviews with more than 100 AI and machine ...
A new study in the Journal of Big Data shows that large language models can outperform traditional machine learning in ...
Researchers used natural language processing on six years of interviews to show that a large UK research consortium needed nearly ...
Researchers have unveiled byteification, a two-stage conversion method that retrofits existing subword-based large language models into byte-level models matching their ...
A new study shows that an automatic coreference resolution model performs worse on the speech of people with schizophrenia and ...
Researchers decoded nearly 7,000 historical Central European reports of thunderstorms and hail dating back to the year 1000 and trained ...
A new generative protocol called BridgeProt achieves top accuracy and perfect structural validity in emotion-cause pair extraction by verifying each ...
Researchers have developed ValuePEFT, a parameter-efficient fine-tuning method that steers large language models toward explicitly specified human values with measurable ...
A new multi-domain Arabic dataset and benchmark shows that deepfake-text detectors excel within familiar domains but falter sharply on government ...
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© 2026 Scienmag - Science Magazine