Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
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 ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
MS research suggests the disease may be divided into two biological subtypes that differ in how early and aggressively nerve ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
The study identifies a less visible but increasingly important countertrend: the rapid growth in energy consumption driven by AI itself. Training large machine learning models, running continuous ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
USPTO Director Squires’s 2025 policies encourage more use of evidence-based SMEDs to challenge patent rejections, especially ...
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