Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...
Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
A new AI-powered framework could transform how astronomers measure the expansion of the Universe. By analyzing images of Type ...
Anupam Ojha, a postdoctoral fellow at the Flatiron Institute, develops advanced statistical frameworks to bridge the gap ...
The era of size inclusivity is seemingly over. Our critic traces the shift and hopes designers might learn from it. By Vanessa Friedman I know models have always been skinny, but it seems to me they ...
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 ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results