ChatGPT Can Predict Environmental Research Trends, but Mostly by Repeating Them
A new study found ChatGPT correctly predicted up to 80 percent of next-year research hotspots in environmental science, but achieved ...
A new study found ChatGPT correctly predicted up to 80 percent of next-year research hotspots in environmental science, but achieved ...
A systematic evaluation of four large language models on a plant-health relation extraction benchmark finds only weak, model-dependent correlation between ...
GraphRAG-ADR combines a knowledge graph with a large language model to extract adverse drug reactions from informal patient narratives, reaching ...
A review by Cosylab engineers in the ARTIFACT network proposes a framework-agnostic, safety-first abstraction layer to connect AI services to ...
A ten-week study of Iranian IELTS students found ChatGPT-assisted speaking practice significantly improved syntactic complexity and speech rate, while accuracy ...
A hybrid GPT-Neo transformer and Random Forest approach achieved 97 percent accuracy in detecting promoters in Agrobacterium tumefaciens.
OntoGPT, an AI tool that grounds a large language model in scientific ontologies, agreed with human reviewers on 65 percent ...
A comparative study found that ChatGPT-4o, Claude 3.5 Sonnet, and Deepseek-R1 produced accurate, safe, fabrication-free exercise messages for older adults, ...
Researchers have developed CAMV, a framework that automatically extracts contextual information from datasets and generates coordinated multi-view visualizations to help ...
A bibliometric review of 483 studies finds large language model research in healthcare simulation education has surged since 2025, yet ...
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© 2025 Scienmag - Science Magazine