Chip Industry In Rapid Transition

By Ed Sperling - 09 Jan, 2019 - Comments: 0

Wally Rhines, CEO Emeritus at Mentor, a Siemens Business, sat down with Semiconductor Engineering to talk about global economics, AI, the growing emphasis on customization, and the impact of security and higher abstraction levels. What follows are excerpts of that conversation. SE: Where do you see the biggest changes happening across the chip industry? Rhines: 2018 was a hot year for fab... » read more

Computing Way Outside Of A Box

By Ed Sperling - 08 Nov, 2018 - Comments: 0

Mike Muller, CTO of Arm, sat down with Semiconductor Engineering to talk about changing boundaries between client and server machines, the end of Moore's Law and the impact of machine learning on chip architectures. What follows are excerpts of that conversation. SE: Are the lines blurring between what's considered a client device and what's considered a server? Muller: It's less about a ... » read more

AI, ML Chip Choices

By Ed Sperling - 07 Aug, 2018 - Comments: 0

Flex Logix’s Cheng Wang talks about which types of chips work best for neural networks, AI and machine learning. https://youtu.be/k7OdP7B10o8 » read more

Machine Learning’s Limits

By Ed Sperling - 03 Jul, 2018 - Comments: 0

Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. To view part one, click here. SE: How much of what goes wrong in machine learning depends on the algorithm being wrong... » read more

Finding And Fixing ML’s Flaws

By Ed Sperling - 02 May, 2018 - Comments: 0

OneSpin CEO Raik Brinkmann sat down with Semiconductor Engineering to discuss how to make machine learning more robust, predictable and consistent, and new ways to identify and fix problems that may crop up as these systems are deployed. What follows are excerpts of that conversation. SE: How do we make sure devices developed with machine learning behave as they're supposed to, and how do we... » read more

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Knowledge Centers
Entities, people and technologies explored

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by Ed Sperling

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The critical, and growing, significance of mature node chips and processes.

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Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

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Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

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eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

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The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

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Megafabs churning out the most advanced processors are not the only game in town.

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tag: training data

Chip Industry In Rapid Transition

Computing Way Outside Of A Box

AI, ML Chip Choices

Machine Learning’s Limits

Finding And Fixing ML’s Flaws

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