We're excited to present LeaVS, a method to scale up learning for protein function models. It is based on the co-design of wet lab experiments and in silico training.

Today we introduce LeaVS (Learning from Variational Synthesis), a system for accelerating AI training on this functional data. LeaVS goes beyond conventional model training procedures by exploiting knowledge of the underlying synthetic library.

The result? A dramatic speedup in learning.