Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
North America held a dominant market position, capturing more than a 35.4% share, holding USD 2.49 billion in revenue.
AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Nkembuh, N. (2026) Symbiotic Communication Systems: Examining the Co-Evolution of Human-AI Communication Patterns in the ...
The present study proposes a machine learning framework of analyzing therapeutic music patterns to enable emotion recognition within intelligent systems. Since music has been shown to affect human ...
Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...
Background and aims: Pattern identification (PI) provides a basis for understanding disease symptoms and signs. The aims of this study are to extract features for identifying conventional PI types ...
ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...
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