This paper proposes a framework for benchmarking the new product development process of individual companies. The company’s ...

WASHINGTON, Nov 14 (Reuters) - The Commerce Department's Bureau of Economic Analysis said on Friday it was working to update its schedule of economic data releases affected by the recently ended ...

Databricks has added a new agent, the Data Science Agent, to the Databricks Assistant, in an effort to help data practitioners automate analytics tasks. The agent, which is available now in preview ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...

Orange Data Mining is a Python based visual programming software that has been used widely in many scientific publications. Principal component analysis (PCA) is one of the most common exploratory ...

For lithologic oil reservoirs, lithology identification plays a significant guiding role in exploration targeting, reservoir evaluation, well network adjustment and optimization, and the establishment ...

This article was written by the Bloomberg Enterprise Investment Research Data team: Michael Beal, Jerome Barkate, Michael Ashikhmin, Frances Shi. Welcome to Data Spotlight, our series showcasing ...

Social scientists are faced with the challenge of designing complex studies and analyzing collected data via various programs such as R, Stata, SPSS, or Python. This often requires the use of ...