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.

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.

Researchers analyzing 33 studies found strong evidence that highly sensitive people are more prone to depression and anxiety but also more likely to benefit from therapy. Since about 31% of the ...

Ask a Palantir engineer what they build and you might get a shrug, a heavily redacted answer, or a question back: “Which client are you talking about?” Even former staff, no longer bound by NDAs, have ...

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 ...

ON JULY 3RD Congress gave Donald Trump the Independence Day present he wanted: with a vote of 218–214, House Republicans passed the “One Big, Beautiful Bill Act” (BBB)—the most consequential ...

Ever since taking her first STEM class in 8th grade, she’s enjoyed learning about cells, DNA, and anatomy. Now, Kaylyn is a junior in the biomanufacturing pathway at the Davies Career and Technical ...

A trove of breached data, which has now been taken down, includes user logins for platforms including Apple, Google, and Meta. Among the exposed accounts are ones linked to dozens of governments. In ...

This NASA/ESA Hubble Space Telescope image features the spiral galaxy Messier 77, also known as the Squid Galaxy. CREDIT: ESA/Hubble & NASA, L. C. Ho, D. Thilker. Get the Popular Science daily ...

Abstract: Convolutional neural networks (CNNs) have demonstrated exceptional effectiveness in the field of intelligent fault diagnosis. However, due to the varying working conditions of rotating ...

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