Google DeepMind Unveils AlphaGenome: A Unified Sequence-to-Function Model Using Hybrid Transformers and U-Nets to Decode the Human Genome
By Asif Razzaq
Continuing our coverage from yesterday, Google DeepMind unveiled AlphaGenome, a unified deep learning model that processes 1 million base pair DNA windows to predict cellular function. Using a hybrid U-Net and Transformer architecture, it represents a major expansion of DeepMind's biological AI toolkit beyond protein folding.