The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
FAYETTEVILLE, Ark. — A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor ...
Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled “SAMP ...
The peer-reviewed research, published in npj Climate and Atmospheric Science, assesses the viability of applying a machine learning (ML) weather model to global seasonal forecasts, which are vital for ...
To a human nose, hydrogen sulfide smells like rotten eggs, geranyl acetate like roses. But the problem of guessing how a new chemical will smell without having someone sniff it has long stumped food ...
A machine learning classification model helps to group data into pre-defined classes. For instance, the model can look at past data to group players into “High-Value,” “Regular,” or “At-Risk” classes.
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