Artificial Intelligence Chips: Past, Present and Future


Artificial Intelligence (AI) is much in the news these days. AI is making medical diagnoses, synthesizing new chemicals, identifying the faces of criminals in a huge crowd, driving cars, and even creating new works of art. Sometimes it seems as if there is nothing that AI cannot do and that we will all soon be out of our jobs, watching the AIs do everything for us. To understand the origins ... » read more

Faster Verification With AI, ML


Tool providers have continually improved the performance, capacity, and memory footprint parameters of functional verification engines over the past decade. Today, although the core anchors are still formal verification, simulation, emulation, and FPGA-based prototyping, a new frontier focusing on the verification fabric itself aims to make better use of these engines including planning, alloca... » read more

System Bits: July 31


Computers that perceive human emotion As part of the growing field of “affective computing,” MIT researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. Affective computing uses robots and computers to analyze facial expressions, interpret emotions, and respond accordingly. Applications include, for ... » read more

Why Parallelization Is So Hard


Semiconductor Engineering sat down to talk about parallelization efforts within EDA with Andrea Casotto, chief scientist for Altair; Adam Sherer, product management group director in the System & Verification Group of Cadence; Harry Foster, chief scientist for Mentor, a Siemens Business; Vladislav Palfy, global manager for applications engineering at OneSpin; Vigyan Singhal, chief Oski for ... » read more

Pros, Cons Of ML-Specific Chips


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. Part two is here. SE: Is the industry's knowledge of machine learning keeping up with th... » read more

A New Era For EDA


For almost the entirety of my time in EDA, which is approaching 40 years, the total number of design starts has been declining. A lot of this is to be expected. Semiconductors was the new and exciting world where startups popped up hoping to make it big in Silicon Valley, or indeed to become the next Silicon Valley, Forest, Swamp or Desert. Many of them didn't manage to get beyond a neat concep... » read more

Where ML Works Best


Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to discuss machine learning inside and outside of EDA tools and how that will affect the future of chip and system design. What follows are excerpts of that discussion. SE: How do you see the market and use of machine learning shaping up? Devgan: There are three main areas—machine learning inside, machine lear... » read more

Mixed Outlook For Semi Biz


Both the IC and fab equipment industries have been enjoying a boom cycle for some time, but they could be facing speed bumps and possibly turbulence in the second half of this year and into 2019. In the first half of 2018, the industry was fueled by the momentum carried over from 2017. DRAM prices remained relatively high, which contributed to the revenue growth in the overall IC industry. M... » read more

Week in Review: IoT, Security, Auto


Cybersecurity Rambus signed a patent license agreement with Socionext, a designer of system-on-a-chip devices. Socionext will use Rambus technology in memory controllers, serializers/deserializers, and security applications. Netskope acquired Sift Security, adding 10 technical employees to its headcount of more than 500 people; financial terms weren’t revealed. Sift CEO Neil King was tapp... » read more

22nm Process Technology


Jamie Shaeffer, senior director of product line management at GlobalFoundries, talks about how FD-SOI compares with bulk technologies, where it will be used and why, and future stacking options. https://youtu.be/2i7GJRxcNRs » read more

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