A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

Get insights on Portland General Electric's stock valuation, dividend yield, and growth forecast. See why we rate POR stock a ...

IES Holdings, Inc. is rated a Hold with robust growth and sustained margins, making the risk/reward less compelling. Read ...

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.

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 ...

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