A comprehensive survey published May 23 in Intelligent Computing , a Science Partner Journal maps out the role of large language models in task ...

The top 3 out of 5 high-ROI uses of RAG models in banking and fintech do both: generate new income and save. Use cases 4 and ...

Running Wolf sees the development of Indigenous language A.I. tools as part of keeping abreast of global innovation. He hopes ...

A constantly updated RAG architecture mitigates the risks of a stale AI system by ensuring AI outputs reflect the latest ...

To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

A professor at the Indiana Univesity Luddy School of Informatics, Computing and Engineering has co-authored a paper ...

Researchers at the National Institutes of Health (NIH) have developed an artificial intelligence (AI) agent powered by a ...

“ORNL is leading the AI frontier in science,” Potok concluded. “We are using AI to simulate, predict and accelerate ...

Method combines genomics technologies with computational modeling to predict changes in multicellular behavior, such as cell communication.

Metacognition, EFL Learners, Digital Intelligence Era, Artificial Intelligence (AI), Adaptive Learning, Self-Regulated Learning, Digital Literacy Share and Cite: Yang, X.X. (2025) The Evolution of ...

Many people have never heard of Wikidata, yet it’s a thriving knowledge graph that powers enterprise IT projects, AI ...

Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex ...