tag: artificial intelligence

Building Chips That Can Learn
By Ed Sperling - 29 Sep, 2016 - Comments: 0

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
By Ed Sperling - 20 Sep, 2016 - Comments: 0

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
By Ed Sperling - 19 Sep, 2016 - Comments: 0

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
By Ann Mutschler - 06 Sep, 2016 - Comments: 0

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
By Ed Sperling - 20 Jul, 2016 - Comments: 0

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
By Ann Mutschler - 05 Jul, 2016 - Comments: 0

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
By Ed Sperling - 30 Jun, 2016 - Comments: 0

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
By Ann Mutschler - 17 May, 2016 - Comments: 0

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

System Bits: April 19
By Ann Mutschler - 19 Apr, 2016 - Comments: 0

Debugging web apps MIT researchers reported that they’ve developed a system that can quickly comb through tens of thousands of lines of application code to find security flaws by exploiting some peculiarities of the Ruby on Rails web programming framework. The team said that in tests on 50 popular web applications written using Ruby on Rails, the system found 23 previously undiagnosed sec... » read more

What Cognitive Computing Means For Chip Design
By Ann Mutschler - 30 Mar, 2016 - Comments: 1

Cognitive computing. Artificial intelligence. Machine learning. All of these are concepts aim to make human types of problems computable, whether it be a self-driving car, a health care-providing robot, or a walking and talking assistant robot for the home or office. R&D teams around the world are working to create a whole new world of machines more intelligent than humans. Designing sys... » read more

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