原文开头
Researchers at the University of Oregon have developed a new artificial intelligence model that analyzes DNA sequences in a way that resembles how language models interpret text, offering a faster and more precise method to trace evolutionary relationships between genes. The system focuses on identifying mutation patterns across genomes, allowing scientists to reconstruct ancestral lineages and better understand how genes evolved over time. The approach represents a growing intersection between artificial intelligence and biology, where techniques originally designed for language processing are being adapted to decode genetic information. DNA, like language, is built from sequences—except instead of words and grammar, it consists of nucleotides and mutations. …
摘自《科技生活新闻》(Techlife News)2026年5月9日。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。