Three Democrats are seeking information from tech firms about the growing energy use of data centers and the utility bills of individuals and other businesses. By Ivan Penn and Karen Weise Three ...

Abstract: Data compression is an important factor of excessive-pace network communications, as it may lessen the number of facts that need to be transmitted over a given network. Facts compression ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

The Bureau of Labor Statistics is reducing or ending the collection of data that is used to calculate the Consumer Price Index. By Ben Casselman Federal Reserve policymakers have stressed that their ...

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 ...

CHESAPEAKE, Va. — The two dozen or so nondescript gray, white and blue buildings lining Virginia State Route 625 could be large warehouses. But community activist Elena Schlossberg can identify them ...

Many school district technology leaders are struggling to establish fundamental student data privacy practices, partly due to a lack of support from the rest of the district, concludes a new report ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...