Today’s AI models are impressive. Teams of them will be formidable Working together will make LLMs more capable and intelligent—for good and ill ...

To summarize, we need mechanisms to constantly validate existing scientific knowledge or laws, and those mechanisms can be combinations of data, hypothesis and experiments.

Demetris Portides, Thinking about idealization, abstraction and scientific models, Synthese, Vol. 198, Special Issue on Abstraction and Idealization in Scientific Modeling (2021), pp. S5849-S5853 ...

1. Reliability A large data science project can be broken down by constructing a combination of sub-models that can be conjoined with one another or stacked.

25 June 2025 Here’s why China’s science and innovation model is thriving A combination of government planning, academic ambition and bold entrepreneurship are hallmarks of the country’s success.

Unlike models such as Google’s Neural GCM, which is trained on the same weather data as today’s top climate models, emulators are typically trained on the outputs of full-scale climate models.

Scientists use models to represent their imagination and conceptualization of a particular phenomenon. They then use models to develop an argument to debate, defend, and debunk ideas in their peer ...

From AMANDA to COSTAR, coming up with a good acronym will help sell a scientific project. Feedback admires the brains behind ...

Scientific models can help us understand the important features of complex systems, but they need good data.

A new Martian climate model suggest a mostly cold, harsh environment A model built using data from the Curiosity rover suggests wet periods were rare.