See how working with LLMs can make your content more human by turning customer, expert, and competitor data into usable ...
This paper optimizes the configuration of large-scale data centers toward cost-effective, reliable and sustainable cloud supply chains. We formulate an integer optimization model that optimizes the ...
Most existing molecular machine learning force fields (MLFFs) focus on atom- or molecule-level properties like energy and forces, while overlooking the foundational role of electron density (ED), ...
Open debate: Open debate, paired with tolerance for disagreement and political freedom, enables citizens to make their voices ...
ABSTRACT: In recent years, the haze occurs frequently and air pollution is getting worse in Beijing-Tianjin-Hebei Region, China. The particulate matter pollution characteristic researches are playing ...
Abstract: Numerous binary variables and constraints greatly affect the computation of large-scale network-constrained unit commitment (NCUC) problems. With the integration of massive renewable energy ...
What if you could uncover the hidden stories behind your conversational AI agents, without spending hours manually combing through data? Imagine pinpointing recurring user concerns, identifying agent ...
TAMPA, Fla. — Europe must move quickly to craft a large-scale strategy for space-based data centers or risk ceding a potential pillar of future digital infrastructure to global competitors, according ...
UJET, a leader in AI-powered contact center innovation, today announced the acquisition of Spiral, a conversational analytics and AI company specializing in deep customer feedback and interaction ...
Abstract: Decentralized strategies are of interest for learning from large-scale data over networks. This paper studies learning over a network of geographically distributed nodes/agents subject to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback