Using Data To Improve Yield


Semiconductor manufacturers are always looking for an edge to improve operating efficiency and to increase yields on chip lots. For some, the answers include big data analytics, as well as technology to move that data around more quickly. Chipmakers, board assemblers, and related businesses are turning to the Internet of Things, especially [getkc id="78" kc_name="Industrial IoT"] technology... » read more

Tech Talk: Smart Manufacturing


Tom Salmon, vice president of collaborative technology platforms at SEMI, examines the electronics supply chain and what the industry organization is doing to pull all of the pieces together. https://youtu.be/jWX9mayMaZo Related Stories Smart Manufacturing Gains Momentum Problems remain for legacy infrastructure, but adoption will continue to grow as gaps are identified and plugged. ... » read more

The Rising Value Of Data


The volume of data being generated by a spectrum of devices continues to skyrocket. Now the question is what can be done with that data. By Cisco's estimates, traffic on the Internet will be 3.3 zetabytes per year by 2021, up from 1.2 zetabytes in 2016. And if that isn't enough, the flow of data isn't consistent. Traffic on the busiest 60-minute period in a day increased 51% in 2016, compare... » read more

Using Machine Learning In EDA


Machine learning is beginning to have an impact on the EDA tools business, cutting the cost of designs by allowing tools to suggest solutions to common problems that would take design teams weeks or even months to work through. This reduces the cost of designs. It also potentially expands the market for EDA tools, opening the door to even new design starts and more chips from more compan... » read more

What Does An IoT Chip Look Like?


By Ed Sperling and Jeff Dorsch Internet of Things chip design sounds like a simple topic on the face of it. Look deeper, though, and it becomes clear there is no single IoT, and certainly no type of chip that will work across the ever-expanding number of applications and markets that collectively make up the IoT. Included under this umbrella term are sensors, various types of processors, ... » read more

Tracking Down Errors With Data


Michael Schuldenfrei, CTO at [getentity id="22929" comment="Optimal+"], sat down with Semiconductor Engineering to discuss how data will be used and secured in the future, the accuracy of that data, and what impact it can have on manufacturing. What follows are excerpts of that conversation. SE: Can data be shared across the supply chain? Schuldenfrei: We believe it has to happen. If it d... » read more

IoT’s Success Will Be About The ‘Information Profit Margin’


Almost 20 years ago, on a clear, chilly spring day in Massachusetts, Federal Reserve Chairman Alan Greenspan spoke at the Boston College Finance Conference 2000. What he said would mark a pivotal moment in our thinking about the impact of technology: “When historians look back at the latter half of the 1990s a decade or two hence, I suspect that they will conclude we are now living through... » read more

When Digital, Physical Worlds Merge


Semiconductor Engineering sat down with Simon Segars, [getentity id="22186" e_name="ARM's"] CEO, and [getperson id="11764" comment="Lucio Lanza"], managing partner of Lanza techVentures, to talk about changes in the IoT, self-driving vehicles, cloud-based health monitoring, and the impact of machine learning. What follows are excerpts of this conversation. SE: Several years ago the [getkc i... » read more

Is Product Quality Getting Lost In The IIoT?


Manufacturing operations have continuously evolved using data capture and management to assess and test production effectiveness on the manufacturing floor. The advent of the Industrial Internet of Things (IIoT) and its anticipated ability to track and manage the factory environment with machine-to-machine process analytics heralds yet another transformation, promising a higher level of data in... » read more

Confidence In 7nm Designs Requires Multi-Variable, Multi-Scenario Analysis


As designs move toward 7-nanometer (nm) process nodes, engineering and production cost dramatically increases and the stake in getting the design right the first time becomes significantly higher than ever before. You are faced with the question, “how confident are you in your design analysis coverage?” Tighter noise margin, increasing power density, faster switching current and greater ... » read more

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