AI-assisted design methods now allow for automated optimization, drastically shortening development cycles while boosting ...

Simulation results demonstrate that the proposed DRL-based utility optimization algorithm achieves faster inference speed compared to deep Q network and effectively improves the task processing rate, ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

The rise of AI-driven development, the proliferation of microservices, and the adoption of serverless architectures have ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Traditional wireless network design relies on optimization algorithms derived from domain-specific mathematical models, which are often inefficient and unsuitable for dynamic, real-time applications ...

The properties of atomic clusters strongly depend on their structure; therefore, identifying stable structures is critical for materials discovery. In this study, we implemented a deep reinforcement ...