Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Researchers at Duke University are proposing a new framework to evaluate artificial intelligence scribing tools by using a combination of human review and technological evaluation. The tools, while ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
The aspect of a job interview will have turned into an evaluation backed with data, behavior analysis, and competency models by the year 2026.
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