Applying Machine Learning To Chips

By Ann Mutschler - 22 Mar, 2018 - Comments: 0

The race is on to figure out how to apply analytics, data mining and machine learning across a wide swath of market segments and applications, and nowhere is this more evident than in semiconductor design and manufacturing. The key with ML/DL/AI is understanding how devices react to real events and stimuli, and how future devices can be optimized. That requires sifting through an expandi... » read more

Exponentials At The Edge

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

The age of portable communication has set off a scramble for devices that can achieve almost anything a desktop computer could handle even five years ago. But this is just the beginning. The big breakthrough with mobile devices was the ability to combine voice calls, text and eventually e-mail, providing the rudiments of a mobile office-all on a single charge of a battery that was light enou... » read more

Privacy Is In Retreat

By Ed Sperling - 01 Feb, 2018 - Comments: 0

It was always a given that when you were online, you're in public. The deceptive piece is that your online activities can appear very distant from your physical location. You might be shopping from the comfort and seeming privacy of your living room, or texting on your smart phone before you get out of bed. This created a lot of buzz initially, but over the past year or so the level of paran... » read more

Preparing For Bigger Changes Ahead

By Ed Sperling - 21 Dec, 2017 - Comments: 0

The semiconductor industry has undergone a fundamental shift over the past year, and it's one that will redefine chipmaking over the next decade or more. While the focus is still on building the fastest, lowest-power devices, whether that's by shrinking features or packaging them into blazing-fast 2.5D or fan-out configurations, these devices are being customized for specific use cases much ... » read more

Hyperscaling The Data Center

By Kevin Fogarty - 07 Dec, 2017 - Comments: 1

Enterprise data centers increasingly will look and behave more like slimmed-down versions of hyperscale data centers as chipmakers and other suppliers adapt systems developed for their biggest customers to in-house IT faciilities. The new chips and infrastructure that will serve as building blocks in these facilities will be more power-efficient, make better use of space and generate less he... » read more

More Volatility Ahead

By Ed Sperling - 30 Nov, 2017 - Comments: 0

The entire semiconductor industry had a wild ride on the stock market this week, plunging on Wednesday and recovering on Thursday. This is just a sign of things to come. The cause of this week's volatility can be tied directly to a Morgan Stanley report, which said that NAND prices have peaked and will begin dropping at the beginning of 2018 because supply has caught up with demand. The repo... » read more

The Next Phase Of Machine Learning

By Kevin Fogarty - 09 Nov, 2017 - Comments: 0

Machine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars. [getkc id="305" kc_name="Machine learning"] can apply to every corporate fu... » read more

The Evolving Data Center

By Ann Mutschler - 12 Oct, 2017 - Comments: 0

Confession time. In addition to being utterly fascinated by all things chip design, I have always been absolutely enthralled by the magnificent data center. With a family member that has worked in them for most of his career, I can recalled being delighted to be amongst the racks in a second floor data center in Palo Alto in the early 90s. Time to time throughout my career it’s been thrilling... » read more

Executive Insight: Lip-Bu Tan

By Ed Sperling - 06 Sep, 2017 - Comments: 2

Semiconductor Engineering sat down with Lip-Bu Tan, president and CEO of [getentity id="22032" e_name="Cadence"], to discuss disruptions and changes in the semiconductor industry, from machine learning and advance packaging to tools and business. What follows are excerpts of that conversation. SE: What do you see as the next big thing? Tan: Unlike mobility or cell phones, or PCs before th... » read more

The Rising Value Of Data

By Ed Sperling - 09 Aug, 2017 - Comments: 0

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

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Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

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

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

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

by Laura Peters

What Comes After HBM For Chiplets

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

Memory Fundamentals For Engineers

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

Why Small Fab And Assembly Houses Are Thriving

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

by Bryon Moyer

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