Abstract: In recent years, the extraction of extensive spatiotemporal datasets from various sources has surged. One notable example is the cloud-to-ground (CG) lightning dataset in atmospheric area, ...
Graduate School of Economics, The University of Osaka, Osaka, Japan. Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock ...
Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google plans to invest $10B to establish a 1-gigawatt data center cluster in Visakhapatnam, in the Indian state of Andhra Pradesh, The Economic Times reported.
Abstract: Neural networks (NNs) are pivotal in enhancing data processing tasks such as classification, generation, and restoration. A crucial consideration in these applications is the signal-to-noise ...
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 ...
Accurate thermochemical data with sub-chemical accuracy (i.e., within ±1 kcal/mol from sufficiently accurate experimental or theoretical reference data) is essential for the development and ...
Meta CEO Mark Zuckerberg appears to have used YouTube’s battle to remove pirated content to defend his own company’s use of a dataset containing copyrighted e-books, revealed in newly released ...
Helen Branswell covers issues broadly related to infectious diseases, including outbreaks, preparedness, research, and vaccine development. Follow her on Mastodon and Bluesky. You can reach Helen on ...
This macro performs an ordinal cluster analysis on a given dataset. It processes the data to compute win fractions, conducts a mixed model regression on these win fractions, and fits a proportional ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback