Objective This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative ...
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The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...
Netflix has described the production lessons behind bringing LLM inference into its internal serving platform, including the ...
OpenAI's unreleased Astra model has produced what its October 2025 announcement only pretended to: genuine solutions to ten long-standing open problems in mathematics and theoretical computer science, ...
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NVIDIA Molt open-sources agentic RL training that scales to trillion-parameter models
NVIDIA Molt agentic RL framework, open-sourced July 22, 2026, delivers a PyTorch-native training stack of roughly 8,600 lines ...
Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Intervention: Conceptual ...
Artificial intelligence is revolutionizing how we approach physics research. From experimental high-energy physics to astronomy, AI research in physics has ...
Background Prior research indicates that food insecurity is negatively associated with cardiometabolic health and plays a ...
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