Unlocking nature’s code: Researchers draw parallels between AI models and genetic encoding

In a new paper published in the journal Trends in Genetics researchers from the University of Vermont and Trinity College Dublin propose an innovative analogy between AI models and genetic encoding to help us understand how genes encode the complex information that enables them to create an organism. In a new paper published in the journal Trends in Genetics researchers from the University of Vermont and Trinity College Dublin propose an innovative analogy between AI models and genetic encoding to help us understand how genes encode the complex information that enables them to create an organism. Molecular & Computational biology Phys.org – latest science and technology news stories