Abstract: Normalization layers are ubiquitous in modern neural networks and have long been considered essential. This work demonstrates that Transformers without normalization can achieve the same or ...

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: Batch normalization (BN) enhances the training of deep ReLU neural network with a composition of mean centering (centralization) and variance scaling (unitization). Despite the success of BN ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

Description: Normalize the database to Second Normal Form (2NF). Second Normal Form (2NF) removes partial dependencies; this means that all non-key attributes are fully functionally dependent on the ...

The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi ...

Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada ...

See a spike in your DNA–protein interaction quantification results with these guidelines for spike-in normalization. A team of researchers at the University of California San Diego (CA, USA) have ...

When President Joe Biden leaves office early next year, he will probably do so without having realized a signature item on his agenda for the Middle East—a diplomatic normalization between Israel and ...