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Lots Of Data, But Uncertainty About What To Do With It


Experts at the Table: Semiconductor Engineering sat down to talk about silicon lifecycle management in heterogeneous designs, where sensors produce a flood of data, with Prashant Goteti, principal engineer at Intel; Rob Aitken, R&D fellow at Arm; Zoe Conroy, principal hardware engineer at Cisco; Subhasish Mitra, professor of electrical engineering and computer science at Stanford University... » read more

Data Management Position: An Automated Approach to Intelligent PCB Design Data Management


The design cycle of electronic devices produces vast amounts of data. From a top-level view, this data can be broken down into basic blocks, including software, circuit board design, mechanical design, and others. These blocks contain extensive and complex information, including the types and amounts of individual data and information files, as well as their hierarchy structure. This data and i... » read more

Embedded Intelligent Edge For Predictive Maintenance


Historically in a full-scale production setting, one of the best company assets was the experience of machine operators, as they had the ability to predict when maintenance was required. Plant managers reported about any unusual behavior such as a clatter or clank in the machinery, prompting a check-up by the maintenance crew. Today, the level of automation greatly reduces the operator’s abil... » read more

Big Payback For Combining Different Types Of Fab Data


Collecting and combining diverse data types from different manufacturing processes can play a significant role in improving semiconductor yield, quality, and reliability, but making that happen requires integrating deep domain expertise from various different process steps and sifting through huge volumes of data scattered across a global supply chain. The semiconductor manufacturing IC data... » read more

Containing The Explosion In Data


The amount of data that could be kept for every design is gargantuan, but even that may not be enough these days as lifecycle management, continuous verification, regulatory requirements, and globalization add to the data that needs to be stored. But data has no value if it cannot be found or used in ways that provide more benefit than the cost of storing it. "Data management is not unique t... » read more

CEO Outlook: Chiplets, Longer IC Lifetimes, More End Markets


Experts at the Table: Semiconductor Engineering sat down to discuss chiplets, longer IC lifetimes, and a spike in the number of end applications with Lip-Bu Tan, CEO of Cadence; Simon Segars, CEO of Arm; Joseph Sawicki, executive vice president of Siemens IC EDA; John Kibarian, CEO of PDF Solutions; Prakash Narain, president and CEO of Real Intent; Dean Drako, president and CEO of IC Manage; an... » read more

IC Data Hot Potato: Who Owns And Manages It?


Modern inspection, metrology, and test equipment produces a flood of data during the manufacturing and testing of semiconductors. Now the question is what to do with all of that data. Image resolutions in inspection and metrology have been improving for some time to deal with increased density and smaller features, creating a downstream effect that has largely gone unmanaged. Higher resoluti... » read more

Customizing Chips For Power And Performance


Sandro Cerato, senior vice president and CTO of the Power & Sensor Systems Business Unit at Infineon Technologies, sat down with Semiconductor Engineering to talk about fundamental shifts in chip design with the rollout of the edge, AI, and more customized solutions. What follows are excerpts of that conversation. SE: The chip market is starting to fall into three distinct buckets, the e... » read more

Cloud Vs. On-Premise Analytics


The immense and growing volume of data generated in chip manufacturing is forcing chipmakers to rethink where to process and store that data. For fabs and OSATs, this decision is not one to be taken lightly. The proprietary nature of yield, performance, and other data, and corporate policies to retain tight control of that data, have so far limited outsourcing to the cloud. But as the amount... » read more

Too Much Fab And Test Data, Low Utilization


Can there be such a thing as too much data in the semiconductor and electronics manufacturing process? The answer is, it depends. An estimated 80% or more of the data collected across the semiconductor supply chain is never looked at, from design to manufacturing and out into the field. While this may be surprising, there are some good reasons: Engineers only look at data necessary to s... » read more

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