At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

Project Structure sales-ml-demo/ ├── README.md # This file ├── requirements.txt # Python dependencies ├── data/ │ └── processed/ │ └── combined_sales_history.json # Sample sales data ├── src/ │ ├── ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...

Abstract: For distributed-drive electric vehicles, torque vectoring control based on model predictive control (MPC) has emerged as a preferred strategy to achieve superior performance across diverse ...

The Automatic Tuner in the NVIDIA app finds the best overclock settings for the GPU and maintains that performance regularly. The Automatic Tuning feature is not ...

The automotive aftermarket has had a strenuous few years. The EPA has been cracking down on tuning shops and parts providers alike, resulting in changing product lines, massive fines, and even prison ...