Ecer.com states that the application of AI in foreign trade has evolved from a tool-assisted approach to full-process empowerment. In the future, Ecer.com will continue to embed technology into real ...

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...

Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

Abstract: Vision-language-action models (VLAs) use an end-to-end learning architecture, which can realize the integration of visual perception, semantic understanding and motion control. However, when ...

2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...

Agentic Context Engine learns from your agent's successes and failures. Just plug in and watch your agents improve.

Thor Sawin has received funding for teacher development projects through the State Department Fulbright Specialist and English Language Specialist program, as well as the US Air Force and LCC ...

As a longtime world language educator, I have used many traditional assessments in my own classroom. For years, I was teaching my own students the way that I had been taught. I used the same structure ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...