New AI Detector Spots Machine-Written Science Papers With 91.5% Accuracy
Researchers in Jordan have developed a hybrid deep learning detector that distinguishes human-written scientific text from output generated by ChatGPT, ...
Researchers in Jordan have developed a hybrid deep learning detector that distinguishes human-written scientific text from output generated by ChatGPT, ...
Researchers in Beijing developed an expert-guided large language model that extracts interpretable speech-based biomarkers of psychological resilience in major depressive ...
Researchers at Anna University have developed TextSummNet, a two-stage AI system that combines extractive filtering with transformer-based abstractive generation to ...
Researchers have built a framework that uses large language models and knowledge graphs to automatically extract, structure, and query life ...
Content analysis of dictated operative reports identified five technical phrases from the original Swenson pull-through description that were associated with ...
A hybrid compression framework combining knowledge distillation, quantization-aware training, and dynamic inference achieves 92.3 percent semantic accuracy at 1.5 watts ...
The PSY-DIVER study will analyze a decade of routine data from nine German psychiatric hospitals alongside interviews, surveys and a ...
Researchers report an improved GLR parsing algorithm combined with Transformer-based pruning and word alignment that improves neural machine translation of ...
A new study shows that fine-tuning large language models substantially outperforms prompting and classical baselines for detecting which group online ...
A new editorial in Veterinary Oncology introduces a landmark article collection showing how artificial intelligence, from deep learning pathology to ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine