New research shows Americans' economic circumstances shape their democratic values more than political ideology when forced ...

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...

An international team of astronomers has uncovered subtle but significant signs that the cosmic engines powering quasars, ...

The study, titled Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function ...

Their discovery was published on August 28, 2025, in Physical Review Letters and examines how beliefs are updated in the quantum world, where normal physics rules no longer apply The research was ...

Imagine you take a flu test. Before the result, you already have a guess, maybe you feel a bit unwell, so you think the chance is 50–50. When the test comes back positive, you don’t throw away your ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Abstract: Continuous monitoring in A/B testing is widely used for selecting options, variants, or treatments in healthcare analytics. However, the appropriate stopping strategy for A/B testing in ...

This paper provides an important proposal for why learning can be much faster and more accurate if synapses have a fast component that immediately corrects errors, as well as a slower component that ...

Parameter shift rules (PSRs) are key techniques for efficient gradient estimation in variational quantum eigensolvers (VQEs). In this paper, we propose its Bayesian variant, where Gaussian processes ...