SEMI Teams with Cornell University to Accelerate Technology Development Using Machine Learning and AI

SEMI announced a research and development (R&D) project to speed technology progress and problem-solving in microelectronics manufacturing and across the supply chain by driving new efficiencies using machine learning (ML) and artificial intelligence (AI). Under an agreement with SEMI, Cornell University will optimize and accelerate two critical process steps – lithography and plasma etch. Supported through SEMI's R&D program with the U.S. Army Research Laboratory (ARL), the project aims to help accelerate the adoption of data-driven AI methodologies to streamline microelectronics operations. The project will lay the foundation for SEMI to establish data transfer and management standards crucial to the trusted exchange of trade secrets, IP and other sensitive information. New standards and protocols are vital as the industry moves into the era of big data.