Google’s Performer AI architecture could advance protein analysis and cut compute costs

ByJerome Smith
google’s-performer-ai-architecture-could-advance-protein-analysis-and-cut-compute-costs

http://feedproxy.google.com/~r/venturebeat/SZYF/~3/x0DN5df5B0w/

In a paper published this week on the preprint server Arxiv.org, scientists at Google, DeepMind, the Alan Turing Institute, and the University of Cambridge propose Performer, an AI model architecture that scales linearly and performs well on tasks like protein sequence modeling. They claim that it has the potential to impact research on biological sequence analysis while lowering compute costs and compute complexity,  » ….