You can't optimize what you don't measure. AI-referred traffic behaves differently than search or social traffic. Track it separately or make decisions based ...

A multisite advanced practice optimization model improved patient access through tailored interventions, including redistributing non-APP responsibilities. A multisite model for advanced practice ...

Mathematical programming – the task of expressing operations and decision-making problems in precise mathematical language – is fundamental across domains, yet remains a skill-intensive process ...

The network structure and connectivity of green spaces play a crucial role in ecosystem functionality. However, there are still many challenges in improving the structure of urban green space systems ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

The shift from traditional search engines to AI-powered answer engines signals more than a technical upgrade. It marks a fundamental change in how people discover, evaluate, and act on information.

To adapt the model to be compatible with the supported MCT ops I forked the repo and pushed the needed change to reproduce the error on a specific branch ( https ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

Abstract: In this paper, we consider the model merging process for large language models (LLMs) under a two-stage optimization framework. Traditional merging methods usually apply fixed blending rates ...

Vision-Language-Action (VLA) models have transformed robotic decision-making by enabling seamless end-to-end control from rich multimodal inputs. However, their tightly coupled architectures also ...