Full-Chip Power Integrity And Reliability Signoff


As designs increase in complexity to cater to the insatiable need for more compute power — which is being driven by different AI applications ranging from data centers to self-driving cars—designers are constantly faced with the challenge of meeting the elusive power, performance and area (PPA) targets. PPA over-design has repercussions resulting in increased product cost as well as pote... » read more

Let’s Be Smart About Artificial Intelligence


Technology visionaries no less than Stephen Hawking and Elon Musk have called artificial intelligence (AI) the greatest threat facing the future of mankind. But unless we all wind up running for our lives from a “Terminator” killing machine, don’t the benefits of AI far outweigh the downsides? Looking past purely mathematic calculators from the abacus to Charles Babbage’s difference ... » read more

How Neural Networks Think (MIT)


Source: MIT’s Computer Science and Artificial Intelligence Laboratory, David Alvarez-Melis and Tommi S. Jaakkola Technical paper link MIT article General-purpose neural net training Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data, reminded MIT research... » read more

Targeting And Tailoring eFPGAs


Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to discuss what's changing in the embedded FPGA world, why new levels of customization are so important, and difficulty levels for implementing embedded programmability. What follows are excerpts of that discussion. SE: There are numerous ways you can go about creating a chip these days, but many of the prot... » read more

Thinking Much Bigger


For the better part of the past decade the focus has been on integrating an increasing number of smaller components on a piece of silicon. It's time to start thinking much bigger. While there is still plenty of work to be done building more powerful processors, or networks of connected processors on a chip or in a package, new opportunities are opening up in markets such as automotive, medic... » read more

The Week In Review: IoT


Finance Santa Monica, Calif.-based Sixgill reports raising $27.9 million in its Series B round of private financing, led by DRW Venture Capital. Mobile Financial Partners participated in the round. The startup last year raised $6 million in its Series A funding, also led by DRW. The company offers the Sixgill Sense sensor data services platform, addressing applications in the Internet of Thing... » read more

Executive Insight: Aart de Geus


Aart de Geus, chairman and co-CEO of [getentity id="22035" e_name="Synopsys"], sat down with Semiconductor Engineering to discuss machine learning and big data, the race toward autonomous vehicles, systems vs. chips, software vs. hardware, and the future of EDA. What follows are excerpts of that conversation. SE: The whole tech world is buzzing over data and how it gets used in areas such as... » read more

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

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