With shorter time to market windows, higher device quality requirements and more complex chip technologies, improving yield while maintaining or reducing costs are significant challenges in high volume manufacturing. Data analytics play an essential role in addressing these challenges. Our video series, 3 for 3, provides 3 answers for 3 pressing questions about trends in semiconductor test. Today Eli Roth, Product Manager for Smart Manufacturing, discusses how Teradyne’s Archimedes analytics solution is enabling the ecosystem to realize the potential of machine learning and artificial intelligence in the semiconductor manufacturing process. Contact us if you’re interested in learning more.
The video is only visible when the Allow all cookies option has been selected. To reset your cookie selection, clear your browsing history for this session and reload the page, or open this link in a private browser window and choose Allow all cookies. Thanks for your understanding while we resolve this issue.
Eli Roth is the Product Manager for Smart Manufacturing at Teradyne, where he is responsible for product strategy and roadmap for Teradyne’s Archimedes analytics solution. Prior to Teradyne, he was the Director of Engineering at Advanced Energy. He holds a degree in computer engineering from Iowa State University.