Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry ...

A new hybrid AI approach may drastically cut energy use while improving reliability. Artificial intelligence is not just changing software. It is also driving a sharp rise in electricity use. In the ...

Abstract: Bipedal locomotion is challenging for many learning-based algorithms. The sim-to-real gap, the changes in task loads, and the changes in joint damping caused by long-term use may all degrade ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Abstract: In multi-task learning (MTL), gradient conflict poses a significant challenge. Effective methods for addressing this problem, including PCGrad, CAGrad, and GradNorm, in their original ...

ABSTRACT: This study evaluates the effectiveness of English as a Foreign Language (EFL) speaking pedagogy in Goma’s secondary schools, focusing on teachers’ instructional strategies, learners’ ...

Globally, including in Turkey, foreign language education—particularly English—begins in early childhood. However, this process varies significantly depending on learners' individual needs. Among ...

Figure 1. Comparison of attention maps and the proposed VL similarity map for visualizing VL alignment. (a) While traditional attention maps inevitably exhibit high values at certain points due to ...

Automated Machine Learning (AutoML) aims to streamline the end-to-end process of ML models, yet current approaches remain constrained by rigid rule-based frameworks and structured input requirements ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...