While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...

Instead of manually placing every switch, buffer, and timing pipeline stage, engineers can now use automation algorithms to ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine data processing and problem-solving.

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

ABSTRACT: Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning ...

Abstract: This study introduces a multi-objective deep reinforcement learning (MODRL) framework for the concurrent thermal-hydraulic optimization of the through-silicon via (TSV) microchannel heat ...

Abstract: In practical applications, the simultaneous optimization of numerous design parameters in time-consuming multi-objective optimization experiments is recognized as a significant bottleneck ...

ABSTRACT: As cloud computing continues to evolve, managing CPU resources effectively has become a critical task for ensuring system performance and efficiency. Traditional CPU resource management ...

School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, China Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Hefei ...