Abstract: Shared autonomy functions as a flexible framework that empowers robots to operate across a spectrum of autonomy levels, allowing for efficient task execution with minimal human oversight.

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

人工智能的应用在物理学领域已日益普遍，但物理学能否反过来助力人工智能呢？塔拉·希尔斯（Tara Shears）在英国物理学会（Institute of Physics）的一项调查与报告发布后，审视了这两个领域之间的关系。双向道: ...