A study by the Regenstrief Institute and Indiana University has demonstrated the potential of using natural language processing technology to extract social risk factor information from clinical notes ...

Today’s enterprises store valuable business intelligence in documents, including Word files, PDFs, spreadsheets, and physical records. By extracting valuable insights from documents, enterprise ...

Researchers at Japan’s National Institute for Materials Science have developed two large language model-powered tools to automate extracting experimental materials data from open-access scientific ...

Data extraction, a.k.a web scraping, is the process of automatically extracting data from websites. It's an important part of modern digital transformation initiatives requiring the ability to access ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

We’ve all heard the statistics on the amount of data out there. More data will be created this year than last and more data has been created, cataloged and stored in the past couple of years than in ...

Recently, AI researcher Simon Willison wanted to add up his charges from using a cloud service, but the payment values and dates he needed were scattered among a dozen separate emails. Inputting them ...

To better leverage cancer data for research, scientists are developing an artificial intelligence (AI)-based natural language processing tool to improve information extraction from textual pathology ...

A candidate profile looks clear inside a PDF, but the moment details are copied into an internal system or shared document, the structure starts breaking and small errors begin to appear. In many ...