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 ...

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

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