A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

Historical meteorological and energy production data were preprocessed and analyzed using advanced ML algorithms, including Long Short-Term Memory (LSTM) networks, Gradient Boosting Machines (GBM), ...

The paper's goal is to evaluate the reliability of stock price forecasts made using stock values by Gradient Boosting Machines A as opposed to the Naive Bayes Algorithm. Sample size for the Gradient ...