A major update to the open-source flow-models framework introduces an interactive web interface for analyzing network flows ...
Researchers introduced Eulerian Parameter Inference, a change-of-variables method that calibrates simulation models to highly ...
A personal memo I wrote down based on things I've been thinking about lately. It's super long, so plan your reading ...
Interchangeable encrypted reasoning blocks let attackers decode hidden chain-of-thought and leak PII and credentials from ...
Quantifying the elemental stoichiometry of marine phytoplankton biomass is crucial for projections of primary production. In many cases, the mechanistic underpinnings of biomass stoichiometry are ...
"I want to ask the AI to look at an image and say 'circle the red mug,' 'extract only the text,' and 'remove the background ...
As large language models become more important for companies, the overall cost of enterprise models is skyrocketing. An inefficient call from an employee might not seem too dangerous, but multiply ...
The stability of the Atlantic Meridional Overturning Circulation (AMOC) is a major uncertainty in projections of future ...
Potassium is an electrolyte that helps regulate fluid balance, nerve signals, and muscle contractions throughout your body. About 98% of your body’s potassium is found in your cells. A potassium-rich ...
A curated list of research on neural (learned) camera image signal processors (ISPs). It covers learned replacements for each stage of the classical pipeline (denoising, demosaicing, white balance, ...
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