AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design
As a Python library for accelerator-oriented array computation and program transformation, JAX is widely recognized for its power in training large-scale AI models. But its core design as a system for composable function transformations unlocks its potential in a much broader scientific landscape. Following our recent post on solving high-order partial differential equations, or PDEs, […]
AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design Read More »