Machine learning framework accelerates theoretical design of nonlinear optical materials
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has made ...
Physician's Weekly4 天
Hematocrit Levels and Mortality in Patients With Acute Pancreatitis
The following is a summary of "Nonlinear association between hematocrit levels and short-term all-cause mortality in ICU ...
EurekAlert!11 天
Generating asset pricing model via symbolic modeling—a machine learning-based approach
Researchers develop Symbolic Modeling—an AI-powered technique creating unified mathematical models for financial asset ...
Phys.org1 个月
Deep learning model boosts plasma predictions in nuclear fusion by 1,000 times
The researchers enhanced model accuracy by incorporating functions ... A deep learning framework for solving the nonlinear Fokker–Planck–Landau collision operator for anisotropic temperature ...
Tech Xplore on MSN4 天
Cracking the code of private AI: The role of entropy in secure language models
Large Language Models (LLMs) have rapidly become an integral part of our digital landscape, powering everything from chatbots to code generators. However, as these AI systems increasingly rely on ...
AZoAI on MSN10 天
AI Outperforms Wall Street: Symbolic Modeling Beats Classic Finance Models in Predicting ...
Texas A&M researchers have created a new AI-driven method called Symbolic Modeling that outperforms traditional asset pricing ...
ENSO's impact on Antarctic sea ice predictability: A study on linear and nonlinear dynamics
The El Niño-Southern Oscillation (ENSO), the most prominent interannual climate variability signal, has been widely studied for its teleconnections with Antarctic sea ice variability. However, its ...