Key findings from a new study in Nature Machine Intelligence:
- Researchers at Johns Hopkins University developed AI systems that display human-like activity without traditional data training.
- Instead of relying on vast datasets, the models use brain-inspired architectural principles to generate intelligent behavior.
- The study suggests architecture design itself can produce meaningful AI responses, reducing the dependence on large labeled datasets.
- This approach could change how future AI systems are built by prioritizing structure over scale of training data.
Source:https://www.sciencedaily.com/releases/2025/12/251228074457.htm