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: ...
Mark Brown looks at the real-world impact of artificial intelligence within the actuarial and financial reporting landscape ...
Japan's largest pharma event returns May 2026 with 320 sessions spanning manufacturing, quality, CMC, and digital transformation.
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What is a transformer in artificial intelligence, and why is it the base of most modern AI ...
Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017, the Transformer architecture changed machine learning forever. It helps ...
As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
The computing community has largely treated AI hallucinations as a model problem. The default path to reliability has been model improvement: better training data, larger context windows, retrieval ...
SysML v2 Viewer 2.0 broadens our support for the SysML v2 graphical language while improving layout precision and user control.” — Janet Six Ph.D., Senior Product ...
Psychiatric diagnosis still relies on symptom checklists that were never designed to reflect biology. A peer-reviewed invited review published in Brain Medicine now synthesizes recent advances across ...
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