Abstract: Despite the significant success of deep learning in computer vision tasks, cross-domain tasks still present a challenge in which the model’s performance will degrade when the training set ...

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 ...

A reproducible computational pipeline for processing and analyzing single-cell RNA-seq data with CRISPR perturbations, designed for the Virtual Cell Challenge 2025. This pipeline transforms raw single ...

PEN America's report found 6,870 instances of book bans in 2024 and 2025. Books bans in public schools have become a "new normal" in the U.S., escalating since 2021, according to one advocacy group.

Frank August Small Batch Kentucky Straight Bourbon earned 98 points and the Bourbon Trophy, beating out higher-priced bottles from top distilleries. David Thomas Tao is an NYC-based spirits reviewer, ...

Learn the simplest explanation of layer normalization in transformers. Understand how it stabilizes training, improves convergence, and why it’s essential in deep learning models like BERT and GPT.

Saudi nuclear talks delinked from diplomatic normalisation with Israel, two sources say, in what would be a concession by Washington Saudi Arabia resists U.S. '123' nonproliferation criteria, seeks ...

With the release of new AI models that are better at coding, developers are increasingly using AI to generate code. One of the newest examples is the current batch coming out of Y Combinator, the ...

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 ...