Tapping into the “hidden states” in generative large language models (LLMs) can allow users to access more of the model’s information content, research published by the Bank of England finds.
Writes Stanford University researchers, “Most models lack a robust understanding of the factive nature of knowledge — that ...
Large language models (LLMs) may not reliably acknowledge a user's incorrect beliefs, according to a new paper published in ...
Although heart cells and skin cells contain identical instructions for creating proteins encoded in their DNA, they're able ...
Ribonucleic acid (RNA) is one of life's most versatile molecules, with roles going far beyond being a messenger of genetic ...
On October 28, 2025, the little-known AI startup Manifest AI introduced a radical alternative. Their new model, ...
Five universities published studies since 2023 on Guardian Caps, a soft-shell padded helmet cover that slips on the plastic ...
Origami, the Japanese art of paper folding, is not just a creative outlet but also a tool for enhancing patience ...
New Al‑Futtaim white paper finds that young Emiratis prioritise work‑life balance, a supportive culture, and growth. It flags ...
Working with the same tumor slices that pathologists use to diagnose and guide treatment of patients, however, Carstens can ...
Summary: Scientists have built one of the most comprehensive single-cell maps of the developing human brain. The new BrainSTEM framework analyzed nearly 680,000 fetal brain cells to chart their growth ...
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