Gaps In The Verification Flow


Semiconductor Engineering sat down to discuss the state of the functional verification flow with Stephen Bailey, director of emerging companies at [getentity id="22017" e_name="Mentor Graphics"]; [getperson id="11079" comment="Anupam Bakshi"], CEO of [getentity id="22168" e_name="Agnisys"]; [getperson id="11124" comment="Mike Bartley"], CEO of [getentity id="22868" e_name="Test and Verification... » read more

System Bits: Nov. 1


There is a lurking malice in cloud hosting services A team of researchers from the Georgia Institute of Technology, Indiana University Bloomington, and the University of California Santa Barbara has found — as part of a study of 20 major cloud hosting services — that as many as 10 percent of the repositories hosted by them had been compromised, with several hundred of the ‘buckets’ act... » read more

The Looming AI War


A recent spate of acquisitions and announcements in AI and machine learning is setting the stage for a colossal showdown across the tech industry. Among those vying for top spots are Samsung, Google, Apple, Microsoft and Amazon, each with a large enough revenue stream to support an M&A feeding frenzy and the sustained investments required to remain competitive. Consider the most recent a... » read more

Neural Net Computing Explodes


Neural networking with advanced parallel processing is beginning to take root in a number of markets ranging from predicting earthquakes and hurricanes to parsing MRI image datasets in order to identify and classify tumors. As this approach gets implemented in more places, it is being customized and parsed in ways that many experts never envisioned. And it is driving new research into how el... » read more

Building Chips That Can Learn


The idea that devices can learn optimal behavior rather than relying on more generalized hardware and software is driving a resurgence in artificial intelligence, machine leaning, and cognitive computing. But architecting, building and testing these kinds of systems will require broad changes that ultimately could impact the entire semiconductor ecosystem. Many of these changes are wel... » read more

Executive Insight: Sundari Mitra


Sundari Mitra, co-founder and CEO of [getentity id="22535" e_name="NetSpeed Systems"], sat down with Semiconductor Engineering to discuss machine learning, shifting from a processor-centric to a memory-centric design, and what needs to change to make that all happen. What follows are excerpts of that conversation. SE: What is the biggest change you’re seeing? Mitra: We go through a cycl... » read more

Plugging Holes In Machine Learning


The number of companies using machine learning is accelerating, but so far there are no tools to validate, verify and debug these systems. That presents a problem for the chipmakers and systems companies that increasingly rely on machine learning to optimize their technology because, at least for now, it creates the potential for errors that are extremely difficult to trace and fix. At the s... » read more

System Bits: Sept. 6


How might AI affect urban life in 2030? In an ongoing project hosted by Stanford University to inform societal deliberation and provide guidance on the ethical development of smart software, sensors and machines, a panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city. Th... » read more

Executive Insight: Aart de Geus


Aart de Geus, chairman and co-CEO of Synopsys, sat down with Semiconductor Engineering to discuss Moore's Law, the IoT, inflection points and how chip design will evolve in coming years. SE: We are in the middle of possibly one of the biggest transition points we’ve ever seen in this industry. How do you envision things shaking out? De Geus: There is no question that there is an enormou... » read more

GPUs Power Ahead


GPUs, long a sideshow for CPUs, are suddenly the rising stars of the processor world. They are a first choice in everything from artificial intelligence systems to automotive ADAS applications and deep learning systems powered by [getkc id="261" kc_name="convolutional neural network"]. And they are still the mainstays of high-performance computing, gaming and scientific computation, to name ... » read more

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