The Week in Review: IoT


Cybersecurity The U.S. and U.K. governments collaborated on an unprecedented message on Monday, together warning that Russian cyberattacks may extend beyond government and private organizations to individual homes and offices. The attacks may focus on Internet of Things devices, said Rob Joyce, the cybersecurity coordinator for the National Security Council, who soon after resigned from the Wh... » read more

Applying Machine Learning To Chips


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


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


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


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


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


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


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


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


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

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