The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

This layered approach reflects common best practices in embedded AI, where deterministic safeguards complement probabilistic ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

For all the excitement surrounding artificial intelligence, many leadership teams are still waiting to see its impact show up where it matters most. The promised gains in efficiency and output often ...