Knowledge distillation is an increasingly influential technique in deep learning that involves transferring the knowledge embedded in a large, complex “teacher” network to a smaller, more efficient ...

Although few-shot learning (FSL) has achieved great progress, it is still an enormous challenge especially when the source and target sets are from different domains, which is also known as ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...

When DeepSeek-R1 launched recently, it immediately captured the attention of the global artificial intelligence community, prompting major players such as OpenAI, Microsoft, and Meta to investigate ...