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

Expected Goals (xG) can predict the probability of teams winning the Men's EHF EURO 2026 - with Denmark given by far the ...

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

Google Gemini may perform competency very convincingly, but if you use it for everything, you may end up dealing with wrong ...

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 ...

Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...

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