As the nation marks 250 years since the signing of the Declaration of Independence, the Smithsonian invites educators to ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

Abstract: Downward shortwave radiation (DSR), a key component of the surface energy balance, is commonly estimated using either physics-based methods or machine learning (ML) models. Recently, efforts ...

With the rapid development of the Internet era, the Internet has greatly facilitated people’s lives, and computer software has permeated all aspects of life, but it also brings more potential security ...

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

ABSTRACT: 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 ...

In reinforcement learning (RL), methods are often categorized as either model-based or model-free, depending on whether they explicitly learn or use a model of the environment. Definition: Model-based ...

The dynamic motion primitive-based (DMP) method is effective for learning from demonstrations. However, most current DMP-based methods focus on learning one task with one module. Although, some deep ...

Under the direction of CPA Evolution Initiative the new Uniform CPA Examination has updated to test more rigorously for the kind of real-world skills that candidates will need to employ in practice.

Electroencephalogram-based brain-computer interfaces (BCIs) hold promise for healthcare applications but are hindered by cross-subject variability and limited data. This article proposes a multi-task ...