The Human Hand: Curating Good Data And Creating An Effective Deep-Learning R2R Strategy For High-Volume Manufacturing


Currently, the semiconductor manufacturing industry uses artificial intelligence and machine learning to take data and autonomously learn from that data. With the additional data, AI and ML can be used to quickly discover patterns and determine correlations in various applications, most notably those applications involving metrology and inspection, whether in the front-end of the manufacturing ... » read more

GaN 8Gbps High-Speed Relay MMIC For Automated Test Equipment


An 8 Gbps high-speed relay MMIC for an Automated Test Equipment (ATE) using a gallium nitride is developed and evaluated. Metal-Insulator-Semiconductor structure with a tantalum oxynitride is employed to reduce a leakage current for ATE applications. The fabricated MMIC shows 0.3 nA of the leakage current, 12 GHz of a -3 dB bandwidth, and excellent eye-opening of 8 Gbps signals with a 18-lead... » read more

Synopsys And Cerebras Systems


The Cerebras Systems Wafer-Scale Engine 2 (WSE-2) is by far the largest silicon product available, with a total silicon area of 46,225mm². It utilizes the maximum square of silicon that can be made out of a 300mm diameter wafer. The square of silicon contains 84 die that are 550mm² each. These die were stitched together using proprietary layers of interconnect, making a continuous compute fab... » read more

Advantages Of Measuring Surface Roughness With White Light Interferometry


The concept of measuring surface roughness originated nearly a century ago as a means to prevent uncertainty and disputes between manufacturers and buyers. Now, it has become a common identifier used throughout industry for validating manufacturing processes, confirming adherence to both internal and regulatory specifications, and guaranteeing quality and performance of end products. Subjective... » read more

Supply Chain Security And Counterfeit Detection Using Universal Chip Telemetry (UCT)


The recent shortage of chip supply and long lead times prompted system makers to turn to second tier suppliers and distributors for fulfilling their semiconductor needs. This in turn has put the spotlight on the growing concern of fraudulent or counterfeited Integrated Circuits (ICs). Proteus deep data analytics based on Universal Chip Telemetry (UCT) provides a new approach to supply chain ... » read more

Improving Yield With Machine Learning


Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data sets are noisy. Neural networks can identify patterns that exceed human capability, or perform classification faster. Consequently, they are being deployed across a variety of manufacturing proce... » read more

Software Infrastructure For Silicon Lifecycle Management


Semiconductor technology continues to deliver higher levels of logic density in the era of nanometer processes. System-on-chip (SoC) teams can deliver even higher functionality when coupled with the massive integration possibilities of three-dimensional integrated circuit (3DIC) architectures. However, this growth must be matched by increases in capabilities and productivity in the collection a... » read more

Up And Away: Clear-Eyed Considerations For Your Cloud-Adoption Journey


It’s no secret the cloud is a driving force powering the digital transformation. However, cloud adoption is rarely a one-size-fits-all operation. Even when done correctly, it can bring about company-wide transformations unique to each organization. At the very core, the move to the cloud is akin to a culture change, and understanding these changes can make the transition successful. The follo... » read more

Finding Frameworks For End-To-End Analytics


End-to-end analytics can improve yield and ROI on tool purchases, but reaping those benefits will require common data formats, die traceability, an appropriate level of data granularity — and a determination of who owns what data. New standards, guidelines, and consortium efforts are being developed to remove these barriers to data sharing for analytics purposes. But the amount of work req... » read more

Minimizing Execution Risk In Test Solution Development


Test development projects are a mix of engineering disciplines with a complex and interdependent ecosystem. The ability to assess risks and their impact on the entire project can be the difference between success and failure. A technical project lead provides a single point of responsibility for assessing technical risk across the project, developing mitigation plans, and driving countermeasure... » read more

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