Model predictions showed strong agreement with available experimental turnover frequency data, suggesting the framework's reliability in real ... More information: Yue Chu et al, Data-driven discovery ...

By understanding your growth levers and required resources, you can avoid the trap of overpromising and underdelivering.

Learn how MCP bridges the gap between AI potential and practical use, enabling autonomous systems to integrate seamlessly ...

Researchers have developed a novel AI-driven framework that designs eco-friendly concrete ... The proposed methodology involves several stages: data preprocessing, model development, hyperparameter ...

S3 decouples RAG search from generation, boosting efficiency and generalization for enterprise LLM applications with minimal data.

The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially ...

These foundational experiences shaped his conviction that technology alone is insufficient without a clear framework for governance ... and the human element of data-driven transformation.

Large Language Models (LLMs) are quickly transforming the domain of Artificial Intelligence (AI), driving innovations from ...

In the current industry landscape, healthcare systems across the globe are evolving toward more responsive and data-driven models ... revolves around a multi-model framework that combines ...

This era of information technology is driven by data, and that has raised the ... vendor-agnostic framework. The model was designed to assess an organization’s ability to ensure data resilience ...

The data science study, which reached 510 households, highlights the potential of IMTA, a system that combines fish, indigenous vegetables, and rice farming, to strengthen food security, diversify ...