Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Precision Solutions for Semiconductors and Electronics The semiconductor industry represents the pinnacle of precision ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

This repo contains the resources for the paper "From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning." In this work, we take mathematical reasoning as a ...