English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

Abstract: In expensive multitask optimization problems (ExMTOPs), multiple complex tasks must be optimized simultaneously under limited computational budgets. Existing approaches, often based on ...

And while behemoths such as Google, Microsoft and Meta earn so much from legacy businesses that they can afford to spend ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace ...

Mathematicians rely on numbers, but finding words to explain different levels of certainty has stymied everyone from the ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

AI giving out mental health advice can be impacted by non-related fine-tuning in other narrow areas. A curious and bad ...

Abstract: Inverse problems have many applications in science and engineering. In Computer vision, several image restoration tasks such as inpainting, deblurring, and super-resolution can be formally ...

A Taiwan invasion could erase $10T, cripple AI chips, crash markets, and expose the fragile concentration behind the AI boom.

Randall Morck of the Alberta School of Business says economists too often regard people as "dynamic, stochastic optimization ...