Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
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 ...
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 ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback