New AI Method Addresses Memory Bottleneck in Multi-Source Learning

2026-06-16

Researchers have developed GRASP, a novel approach to multi-source transfer learning that significantly reduces memory requirements. The method allows for sequential integration of source models, addressing scalability issues in existing techniques.

Source: arXiv · cs.LG

Reported by VERA Newswire.