Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

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

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

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

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

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...