Expertise / Resources / Presentations / Machine Learning for improved scheduling and throughput in semiconductor equipment
Machine Learning for improved scheduling and throughput in semiconductor equipment
We presented this topic in a webinar on May 12, 2020
Machine Learning can lead to more efficient scheduling on your tools, reduce development time and costs, and increase throughput on your equipment. In this webinar, we share how a reinforcement learning algorithm can generate an optimal scheduler for your tool in minutes.
We’re excited about the possibilities that Machine Learning introduces for our automation software products; it’s part of our multi-year investment in digital transformation, cross-platform deployment, higher system performance, and sensor integration.