Data readiness assessment is an important preparatory analysis that often complements discovery but it is narrower in scope. It evaluates data quality, availability, and governance, while the ...

Academic scientists and pharmaceutical companies alike are embracing artificial intelligence, even as questions linger about ...

Abstract: With the accelerated growth of the count of academic papers, the establishment of an effective prediction model to evaluate the academic impact of potential papers has become a hot topic of ...

Abstract: The present paper discusses the adaptation of the transformer model for the case of numerical data. Although transformers are usually associated with large language models, there are many ...