Tag
Jeff Dean congratulates Periodic Labs for exciting results in building high-throughput materials labs that integrate experiments with AI models using H200 GPUs to create a feedback loop for data-driven discovery.
Liam Fedus describes the setup of high-throughput materials labs in Menlo Park that create a loop between experiments and AI models, using 1,300 H200 GPUs and experimental data to mid-train models for next-step decisions.
This paper investigates physics-informed and hybrid machine learning strategies to predict bond quality and porosity in fused filament fabrication, showing accurate models even with limited experimental data.