Scientists developed a new kind of memristor that mimics how the human brain learns by combining analog and digital processing. This brain-inspired design addresses the issue of “catastrophic forgetting” in AI systems, where previously learned information is lost when new data is acquired. The advancement could lead to more efficient and adaptable AI models.​