That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Watch how a US robotics firm trains a dual-arm robot to fold a towel autonomously using vision and human demonstrations.

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world ...

Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...

Purpose: This study aimed to explore the effect of the order of two learning methods (one based on implicit and another on explicit learning) on students' enjoyment and ability to acquire motor skills ...

ABSTRACT: This study investigates the specific language needs of vocational college students enrolled in a Civil Aviation English course within the cabin service program at a vocational institution in ...

Abstract: The gradient-based meta-learning algorithm gains meta-learning parameters from a pool of tasks. Starting from the obtained meta-learning parameters, it can achieve better results through ...

This study focuses on the application of Task-based Language Teaching (TBLT) in Integrated English classroom instruction. As a “learning by doing” language teaching method that emerged in the 1980s, ...