A new method could improve cosmology research by analyzing supernovae together with the galaxies that host them.

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...

Hiranya Peiris holds the Professorship of Astrophysics (1909) at the University of Cambridge and is a member of the Kavli Institute for Cosmology. Her research centers on extracting fundamental ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Abstract: In coded aperture snapshot spectral imaging (CASSI) systems, model-based approaches highly rely on the handcrafted priors, while data-driven methods overlook the physical degradation process ...

Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...

Dormancy is a widespread bet-hedging strategy across taxa, enabling organisms to survive natural and anthropogenic disturbances. It fundamentally alters eco-evolutionary processes, including ...

DeepSeek AI, a prominent player in the large language model arena, has recently published a research paper detailing a new technique aimed at enhancing the scalability of general reward models (GRMs) ...

Understanding human decision-making in uncertain environments is crucial for fields ranging from cognitive science to artificial intelligence. Recent studies suggest that human behavior in two-armed ...