Oil-Dri Corporation of America ODC continues to demonstrate resilience amid a challenging operating backdrop, outperforming both its industry peers and the broader market over the past year. While ...

Abstract: In industrial processes, accurate, real-time soft sensor modeling of key product indices is essential for optimal process control and improved product quality. However, the nonstationary ...

Hi, thank you for the great scPred model implementation! I have a question regarding the input normalization step during model training and prediction. In the training script, standardization is done ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

Abstract: Transliteration normalization is a crucial task for low-resource languages, particularly for Mongolian, where noisy text from social media presents significant challenges. The frequent use ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Artificial Intelligence (AI) is revolutionizing climate modeling by enhancing predictive accuracy, computational efficiency, and multi-source data integration, playing a crucial role in sustainable ...

SAN DIEGO--(BUSINESS WIRE)--SqlDBM today announced that it has been selected as winner of the “Database Modeling Solution of the Year” award in the 4 th annual Data Breakthrough Awards program ...

DeepSeek, the Chinese AI startup known for its DeepSeek-R1 LLM model, has publicly exposed two databases containing sensitive user and operational information. The unsecured ClickHouse instances ...