A team at Rice University has built a lab platform that can map the activity of more than 10 million protein variants in a ...
A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...
This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...
Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
In fields including computer science and data science, it is common practice when predicting outcomes such as customer churn or image recognition to focus on variables with the highest predictive ...
At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based framework that provides a more accurate and dynamic approach to landslide ...