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

Looking Beyond Technology

The semiconductor industry is beginning to make real progress in deep learning and artificial intelligence, opening up bigger opportunities across more markets than have ever existed in the history of technology. But before this revolution goes much further, the industry also needs to step back and establish a set of guidelines about how this technology will be used. This is an entirely dif... » read more

System Bits: May 17

AI drives Toyota websites An innovation in artificial intelligence described in a 2001 paper by UCLA computer science professor Adnan Darwiche has found a somewhat unexpected application: helping car buyers of Toyota and Lexus customize their vehicles online. The websites let shoppers tailor their vehicle from among a range of models, colors and accessories. The software that powers the sit... » read more

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