Semiconductor manufacturers rely heavily on human expertise for wafer anomaly detection increasing the possibility of errors and limiting manufacturing throughput. TCS recently launched TCS WaferWise, a Google cloud-based wafer anomaly detection solution for semiconductor manufacturing that automatically detects defects, improves product quality, increases throughput, and enhances business growth.
Nano-scale semiconductor manufacturing is complex and quality management is critical
Wafer fabrication involves complex manufacturing: Typically it includes several dozen process flows and each process flow has hundreds of steps, encompassing several machines for the entire manufacturing process flows. Further, lower geometry focus (7nm, 5nm, 3nm) and usage of new materials have increased the overall complexity of the manufacturing. Thus the quality inspection process also needs to be robust and reliable enough so there is no IC failure due to any defect in wafer fabrication.
TCS’ Google cloud-powered AI solution WaferWise promises to automate quality management of semiconductor manufacturing
TCS WaferWise leverages custom AI models to automatically detect and classify anomalies by analyzing nano-scale images generated during the semiconductor manufacturing process. Since TCS has a strong client portfolio in semiconductor and embedded engineering, this solution can be a part of strategic initiatives or overall digital transformation agenda.
“TCS has been the growth and transformation partner for leading semiconductor manufacturers. We have been investing heavily in research and innovation to harness the power of AI and machine learning to reimagine the fabrication value chain and help our customers build competitive differentiation.”
V Rajanna, Global Head, Technology Business Unit, TCS
TCS has partnered with Google to develop this solution and leverages the best of breed technologies the same. The solution runs on Google Cloud and utilizes TCS’ Continuous Learning Platform to effectively sample different datasets across multiple manufacturing lines and automatically trigger learning when required, steadily enhancing the accuracy of the AI model. Since the solution heavily relies on machine learning and deep learning models for accuracy, the partnership with Google is of critical importance.
“We’re excited that this solution will bring together the combined strengths of Google Cloud and TCS to solve problems that are at the core of the semiconductor business. TCS is leveraging its industry expertise and Google Cloud’s infrastructure and AI capabilities to help this set of key customers modernize and streamline critical processes.”
Victor Morales, Managing Director, Partnerships, Google Cloud
Bottom line: TCS reimagines product quality assurance for semiconductor manufacturers by combining industry domain expertise and technology prowess
As semiconductor companies are trying to achieve overall operational efficiency through technology levers, so the know-how of semiconductor manufacturing processes is a must need besides technology capability. TCS has rightly leveraged its semiconductor industry knowledge and the technology to reimagine the product quality assurance process of the semiconductor clients in the digital environment.
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