Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

In these politically divisive times, there’s one thing we all agree on—we don’t want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of ...

This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...

Electricity prices are surging, voters are growing angry, and the artificial intelligence industry's data centers are increasingly a target for blame with U.S. mid-term elections on the horizon.

Amazon.com Inc. alleges that a Berkshire Hathaway Inc.-owned utility in Oregon is failing to provide sufficient power for four new data center facilities, highlighting the strain rapid expansion of ...

We analyzed demographic, behavioral, clinical, and neighborhood-level data for 2,130 patients treated with radiotherapy at the University of Tennessee Medical Center in Knoxville. Treatment ...

Abstract: The development of online education has brought about a massive amount of online learning behavior data. How to fully utilize and analyze these data is a research hotspot of concern in ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...