Energy is no longer a background input but a defining constraint and increasingly, a performance metric, shaping how AI ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

Las Vegas, NV - January 21, 2026 - PRESSADVANTAGE - Press Advantage, a leading press release distribution service, has ...

Explore how AI is transforming business software by enhancing efficiency, automation and insights.

Content optimisation can be improved through the functionality provided by natural language processing. This is because AI systems can gauge the level of readability, relevance, and subject matter ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

Abstract: Energy-efficient data gathering remains a fundamental challenge in Underwater Wireless Sensor Networks (UWSNs) due to the inherent limitations of multi-hop communication, which often result ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...