Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

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 ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

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 ...

We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.