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 ...

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

The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

Scientists have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages ... strength compared to the current model. Traditionally, designing MPEAs ...

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.

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 ...

Harvard researchers have developed a new artificial intelligence-driven framework to track and analyze ... Researchers developed a new AI model to analyze hours of recorded interactions between ...