Abstract: Conventional parallel programming using explicit multithreading over modern multicore processors imposes significant complexity in organizing and balancing work across threads. Task-based ...

Hu, D. (2026) Transformer-Based Automatic Item Generation for Course-Based Test Items: A Case Study of Translation Tasks in China’s Context. Open Journal of Modern Linguistics, 16, 115-128. doi: ...

Unlike chatbots, which learned to imitate human language through vast stores of online text, robots require something the ...

Karen Stollznow does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Abstract: Trajectory planning for autonomous mining trucks is a critical component of unmanned operations in open-pit mines. Currently, traditional trajectory planning methods suffer from low driving ...

Lou Edward Matthews is founder of the InspireMath, and focuses on STEM learning, teaching, and leadership: Culturally responsive teaching prioritizes academic success, intellectual and cultural rigor, ...

It’s a familiar feeling: You start a text message, and your phone’s auto-complete function suggests several choices for the ...

Understanding the difference between simple automation and artificial intelligence could save you millions, writes Satyen K.

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like ...

If you’ve been scrolling LinkedIn or Indeed lately, you’ve probably seen a wave of roles that sound slightly mysterious: “AI Trainer,” “LLM Rater,” “Prompt Evaluator,” “AI Writing Specialist,” “Model ...