In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

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 ...

The Machine Learning Revolution: Key Trends Shaping 2026 and Beyond The landscape of technology is in a perpetual state of ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...