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 ...

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: ...

Key Takeaways LLM workflows are now essential for AI jobs in 2026, with employers expecting hands-on, practical skills.Rather than courses that intensively cove ...

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...

The recruitment industry has always been on the lookout for ways to streamline processes, improve efficiency, and identify ...

The Atlas will expand known evolutionary genetic diversity by 100x, collecting novel genomic data from over 100 million new species across thousands of sites globally.By partnering with Anthropic, ...

Didactic Triangle, Teacher, Learner, Content, Industry-Driven Curriculum, Employability, Needs Analysis, Course Design, Teacher Training Raddaoui, A. (2026) From Didactic Triangle to Pedagogical ...

Medical imaging is a process of visualizing the tissues, organs and structure of the human body to diagnose, monitor, and treat medical conditions. It plays ...

Understand the impact of AI coding on scientific workflows and how it can make computational tools more accessible to ...

I remember the first time I attended a linguistics lecture as an undergraduate in Argentina. The lecturer asked a simple question: where does language come from? My instinctive answer was: books.

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