Deep learning models (eg, convolutional neural networks and long short-term memory) showed high accuracy, while traditional ML (eg, random forest) remained prevalent due to better interpretability.

Abstract: A framework for low Earth orbit (LEO) satellite orbit prediction via closed-loop machine learning is proposed. The framework’s efficacy is demonstrated by improved navigation of a ground ...

Abstract: Developing powertrain control functions is time-consuming and resource-intensive, often leading to sub-optimal solutions. Reinforcement Learning (RL) allows agents to perform complex control ...

Learning to code used to start with a blank file or by piecing together bits of sample code from tutorials. Now, with Microsoft Copilot, you can start coding with a conversation. Copilot helps you ...

This is read by an automated voice. Please report any issues or inconsistencies here. More American workers are experimenting with artificial intelligence in their jobs, but skepticism is still ...