Categories: AI/ML News

This AI mines the numbers buried in scientific papers and turns them into usable data fast

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze. Researchers at Jülich have developed an AI system that automatically identifies these numbers, categorizes them, and converts them into structured data. The Quinex framework thus eliminates the need for time-consuming manual work.

Popular HR and Payroll Company Sequoia Discloses a Data Breach

The company, which works with hundreds of startups, said it detected unauthorized access to personal data, including Social Security numbers.

December 9, 2022

In "AI/ML News"

The Slow-Burn Nightmare of the National Public Data Breach

Social Security numbers, physical addresses, and more—all available online. After months of confusion, leaked information from a background-check firm underscores the long-term risks of data breaches.

August 17, 2024

In "AI/ML News"

A Gentle Introduction to Lists and Data Frames in R

Vectors in R are supposed to be of homogeneous data type. You can use a list as the container if there are mixed data types, such as numbers and strings. The list and data frame are closely related in R. The data frame is probably more useful because it reflects…

August 21, 2023

In "AI/ML Research"

AI Generated Robotic Content