Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...
In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...