Variation’s Long Tentacles


Today, most design engineers don't pay much attention to variation. It's generally considered to be a manufacturing problem. Even within the fab, various job functions are segmented enough that variation in one part of the process, such as the photomask shop, doesn't necessarily come to the attention of the people doing deposition and etch or those polishing the wafers. But increasingly, ... » read more

Week In Review: Manufacturing, Test


Fab tools and materials Applied Materials is expected to remain the world’s largest semiconductor equipment supplier in terms of projected sales for 2018, according to a preliminary forecast of the rankings from VLSI Research. Applied will have $14 billion in sales in 2018, according to the firm. Applied is the leader in terms of overall projected sales in 2018, followed in order by ASM... » read more

Week in Review: IoT, Security, Auto


Internet of Things Automotive, health care, manufacturing, and the public sector could be transformed this year by Internet of Things technology, Bob Violino writes. Taqee Khaled, director of strategy at Nerdery, a digital business consultancy, predicts 2019 will see rapid evolution in enterprise IoT pilot initiatives and implementations. "This acceleration is due, in part, to advances in manu... » read more

Data Vs. Physics


The surge of data from nearly ubiquitous arrays of sensors is changing the dynamics of where and how that data is processed. There is simply too much data to send everything to a centralized processing facility in the cloud, and even 5G won't provide enough bandwidth to handle all of this data. This has big implications on a much broader scale. Data is valuable. And while clean data is more ... » read more

Week In Review: Manufacturing, Test


OEMs and chipmakers Apple has reduced its revenue outlook to $84 billion for the quarter, down from $89 billion to $93 billion in its original forecast. The consensus on Wall Street was $91 billion. “The guide down was mostly attributed to weaker-than-expected iPhone demand in emerging markets, predominantly China,” said John Vinh, an analyst with KeyBanc Capital Markets, in a research not... » read more

What’s the Right Path For Scaling?


The growing challenges of traditional chip scaling at advanced nodes are prompting the industry to take a harder look at different options for future devices. Scaling is still on the list, with the industry laying plans for 5nm and beyond. But less conventional approaches are becoming more viable and gaining traction, as well, including advanced packaging and in-memory computing. Some option... » read more

Week in Review: IoT, Security, Auto


Internet of Things Internet of Things vendors and providers of network services need to collaborate to fully realize the possibilities presented by the IoT, Chris Martin of PowWowNow writes. “The potential applications for IoT sensors and devices span a vast number of industries, with IoT technologies expediting the growth of smart cities, autonomous vehicles and connected industry technolog... » read more

It’s All About The Data


The entire tech industry has changed in several fundamental ways over the past year due to the massive growth in data. Individually, those changes are significant. Taken together, those changes will have a massive impact on the chip industry for the foreseeable future. The obvious shift is the infusion of AI (and its subcategories, machine learning and deep learning) into different markets. ... » read more

Fundamental Shifts In 2018


What surprised the industry in 2018?  While business has been strong, markets are changing, product categories are shifting and clouds are forming on the horizon. As 2018 comes to a close, most companies are pretty happy with the way everything turned out. Business has been booming, new product categories developing, and profits are meeting or beating market expectations. "2018 was indeed a... » read more

Will AI Drive Scaling Forward?


The almost ubiquitous rollout of AI and its offshoots—machine learning, deep learning, neural nets of all types—will require significantly more processing power as the amount of data that needs to be processed continues to grow by orders of magnitude. What isn't clear yet is how that will affect semiconductor manufacturing or how quickly that might happen. AI is more than the latest buz... » read more

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