You started your company to build something meaningful, not to spend your mornings copying data between tools, chasing status ...

This article is part of a series on the intersections of community colleges and child care. Other articles in the series are ...

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.

Abstract: To address the challenges of high resource dynamism and intensive task concurrency in microservice systems, this paper proposes an adaptive resource scheduling method based on the A3C ...

Encouraging students to “look out for each other on purpose” has a powerful impact. These classroom and schoolwide strategies ...

Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...

This paper represents a valuable contribution to our understanding of how LFP oscillations and beta band coordination between the hippocampus and prefrontal cortex of rats may relate to learning.

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

With a years-long shift to skills-based instruction and grading, this district found an unexpected outcome—an increase in AP ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

Meat Free Made Easy, a campaign to help people eat less meat, has launched a new platform to attract more people to the plant ...

This repository contains the code and resources for the paper Thinker: Learning to Think Fast and Slow, published at NeurIPS 2025. Our work introduces the Thinker task, a novel four-stage ...