Intelligent Customer Acquisition and Precision Marketing. Multimodal Content Generation; The AI digital human technology can ...

The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...

Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

Researchers from Hebei University of Technology have developed an innovative approach to lithium-ion battery management that ...

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...

1. Background and Significance of Public Opinion Monitoring ...

In a market where billions are traded every day, predictive accuracy is paramount. By combining adaptive decomposition, deep ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

Deep reinforcement learning has shown great potential in the field of robot control, but it still faces challenges in continuous control tasks. Traditional reinforcement learning algorithms perform ...

The deep reinforcement learning-based UAV maneuver decision-making method, which consists of a model-driven state transition update mechanism, reward function design, uncertainty description, and the ...