Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Distinct patterns of SARS-CoV-2 viral dynamics in saliva reveal heterogeneity that cannot be sufficiently explained by conventional clinical characteristics or microRNA profiles alone.
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
USPTO Director Squires’s 2025 policies encourage more use of evidence-based SMEDs to challenge patent rejections, especially ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Beyond Vehicles’ by the Capgemini Research Institute, 92% of organisations in the automotive sector anticipate a transformation ...
Abstract: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early and accurate detection through medical imaging can ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
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 ...
Morning Overview on MSN
CEOs are quietly using AI every day, here’s how it’s changing work
Artificial intelligence has slipped into the executive suite so quietly that in many companies it now shapes decisions before ...
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