The Consumer Price Index (CPI) for December is set for release Tuesday morning, with the data expected to show inflation pressures remained steady in the final month of 2025.  On a headline basis, ...

Demonstrating faster, simpler, more cost-efficient NGS workflows that turn complex agrigenomics data into practical ...

The cpiVAE learns a shared latent representation across different proteomics platforms. The model consists of platform-specific encoders and decoders connected through a shared latent space, allowing ...

The Bureau of Labor Statistics expanded its use of a technique to fill in gaps in inflation data it wasn’t able to collect through traditional methods, adding to concerns about the agency’s ability to ...

A new review published in Artificial Intelligence and Autonomous Systems（AIAS） highlights how artificial intelligence can tackle the pervasive problem of missing traffic data in intelligent ...

Electricity rates for individuals and small businesses could rise sharply as Amazon, Google, Microsoft and other technology companies build data centers and expand into the energy business. A ...

Abstract: Generative Adversarial Networks (GAN) have been widely used in traffic data imputation to improve the accuracy of data imputation. However, existing GAN-based models often suffer from mode ...

AI has the power to transform how organizations derive insights, make decisions, and unlock value, but all that depends on the quality of the data. Most AI initiatives fail not because of algorithmic ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...