CNBC's Steve Liesman and Paul McCulley, former PIMCO chief economist, joins 'The Exchange' to discuss the upcoming Federal Reserve meeting, the path going forward and much more. Got a confidential ...

From a Trump nominee with a ‘Nazi streak’ to a Sanders-endorsed candidate with a Totenkopf tattoo, the normalization of political hate speech is bipartisan — and increasingly tolerated One of the ...

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.

Abstract: This article addresses the fundamental issues of solvability and normalization in singular Boolean networks (SBNs) from a new perspective based on the admissible and normal initial state ...

In August 2023, Israel’s then-Energy Minister Israel Katz visited the synagogue at the Abrahamic Family House in the United Arab Emirates, a sign of warming ties between the two countries under the ...

President Ferdinand Marcos Jr. said the Localized Normalization Implementation (LNI) program, a major component of the 2014 Comprehensive Agreement on the Bangsamoro (CAB), is crucial in ensuring that ...

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.

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 ...

Following the shootings of two Minnesota lawmakers, NPR's Michel Martin speaks with Matthew Dallek, a historian and professor at George Washington University, about political violence in America. The ...

Hamas aimed to derail “normalization’’ talks between Israel and Saudi Arabia by launching the Oct. 7, 2023, massacre and plunging Gaza into war, newly unearthed documents show. Days before the attack ...

Normalization layers have become fundamental components of modern neural networks, significantly improving optimization by stabilizing gradient flow, reducing sensitivity to weight initialization, and ...