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: Run period Encoding (RLE) is a powerful and efficient approach for fact compression and supply coding. It is generally applied to the lossless compression of grayscale or bi-tonal (black-and ...

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 ...

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 ...

People have always sought ways to preserve knowledge. Ancient humans inscribed stories on cave walls more than 40,000 years ago. With the invention of language and writing, records moved to clay ...

Does every token in the CoT output contribute equally to deriving the answer? —— We say NO! We introduce TokenSkip, a simple yet effective approach that enables LLMs to selectively skip redundant ...

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 ...

Dr. Ziya Arnavut of the State University of New York at Fredonia has received a patent for a software invention that provides a cost-effective method of encrypting data during transmission. The ...

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 ...