Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road safety.

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 ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

AI recognizes complex patterns The researchers’ FLAME model uses machine learning to uncover hidden insights in data and ultimately improve predictions. Below is an example of how the model can ...

After training a machine learning model on the patients’ functional brain images and clinical assessments, the researchers found that the model was able to predict an individual’s PTSD symptom ...

In the past 10 years, the financial industry has spent a lot of resources to utilize complex models in stock prediction, but unfortunately, the question remains the same: Are these models good ...

The method informs the machine learning model with a relatively simple process -- correlation through time, the spatial connections between streams, and energy budget equations.