Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed ...
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 ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
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