I read the coverage of last week’s Fields Medallists, looking to understand how they work.

Stochastic models of biochemical reaction networks are widely used to capture intrinsic noise in cellular systems. The typical formulation of these models are based on Markov processes for which there...

That's a long time in the microwave.

“Inclusive excellence” program had committed $60 million to 104 institutions

NOAA is an agency that enriches life through science. Our reach goes from the surface of the sun to the depths of the ocean floor as we work to keep the public informed of the changing environment aro...

ChatGPT maker says it will need extra protection from US government, following emergence of Chinese rival, DeepSeek.

The aim of the LHC Higgs Working Group (LHCHWG) is to collect and produce theoretical predictions relevant for Higgs physics in the Standard Model and beyond. Summaries of these activities have been m...

Marine researcher says widespread event is 'absolutely heartbreaking' and that Australia is 'running out of time' to save the reef

Shutting down the local industry would see developing nat...

A Python library for amortized Bayesian workflows using generative neural networks. - GitHub - bayesflow-org/bayesflow at dev

Recently arrived XEC now accounts for about a quarter of Covid-19 cases around NZ.

Neural posterior estimation (NPE) and neural likelihood estimation (NLE) are machine learning approaches that provide accurate posterior, and likelihood, approximations in complex modeling scenarios, ...