MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...

Experts have accepted an estimate of around six million living insect species, an appraisal that has stood for the last 40 ...

A new estimate of insect species globally finds that there may be 8 million to 14 million more species than people thought, ...

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...

ABSTRACT: Workplace toxicity remains a significant organizational challenge for companies, negatively impacting performance, increasing turnover, and harming the psychological well-being of employees.

Abstract: With the advancement of embodied intelligence technology, continuous-time reinforcement learning (CTRL) in dynamical systems has shown promising potential in various robotic applications and ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

Previous studies have established a relationship between duodenal mucosa-associated microbiota and overall health. However, sampling duodenal microbiota is technically challenging. Mucosal biopsies ...

How do you design a study that captures human experience as it unfolds in real time? In this episode, Under the Cortex explores the Experience Sampling Method (ESM), a powerful approach for studying ...