Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Prediction market apps are thriving in Trump's second term, with traders betting on migrant deportations to election outcomes. A community of young, mostly male and very online traders are driving the ...

Python physics explained: tides and their mathematical model. Learn how tidal forces work and how to model them step-by-step in Python using clean math, simple assumptions, and clear visual intuition.

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

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

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Prediction markets have gone mainstream. Now the mechanics that powered $44 billion in volume are spreading to stock picks, ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.