What’s Missing In Deep Learning?


It is impossible today to be unaware of deep learning/machine learning/neural networks -- even if what it all entails is not even clear yet. Someone who is intimately familiar with this area, and has some thoughts on this is Chris Rowen, founder of Tensilica (now part of Cadence), who is now a self-described hat juggler. He is still active Cadence several days a month, working technically on... » read more

The Multiplier And The Singularity


In 1993, Vernor Vinge, a computer scientist and science fiction writer, first described an event called the Singularity—the point when machine intelligence matches and then surpasses human intelligence. And since then, top scientists, engineers and futurists have been asking just how far away we are from that event. In 2006, Ray Kurzweil published a book, "The Singularity is Near," in whic... » read more

Automotive Technology Trends Reshaping An Industry


The automotive industry is being disrupted as never before in its history. Casual observers might think this disruption is only about the march toward self-driving cars, which has captured a majority share of the headlines and online chatter. Autonomy is a huge development, to be sure, but two other major technology trends, electrification and connectivity, need equal air time. More than a y... » read more

Overcoming The Limits Of Scaling


Semiconductor Engineering sat down to discuss the increasing reliance on architectural choices for improvements in power, performance and area, with [getperson id="11425" comment=" Sundari Mitra"], CEO of [getentity id="22535" comment="NetSpeed Systems"]; Charlie Janac, chairman and CEO of [getentity id="22674" e_name="Arteris"]; [getperson id="11032" comment="Simon Davidmann"] CEO of [getentit... » read more

Formal’s Roadmap


Formal verification has come a long way in the past five years as it focused on narrow tasks within the verification flow. Semiconductor Engineering sat down to discuss that progress, and the future of formal technologies, with [getperson id="11306" comment="Raik Brinkmann"], president and CEO of [getentity id="22395" e_name="OneSpin Solutions"]; Harry Foster, chief verification scientist at [g... » read more

An Easier Path To Faster C With FPGAs


For most scientists, what is inside a high-performance computing platform is a mystery. All they usually want to know is that a platform will run an advanced algorithm thrown at it. What happens when a subject matter expert creates a powerful model for an algorithm that in turn automatically generates C code that runs too slowly? FPGA experts have created an answer. More and more, the genera... » read more

Power/Performance Bits: Oct. 18


Speeding up memory with T-rays Scientists at the Moscow Institute of Physics and Technology (MIPT), the University of Regensburg in Germany, Radboud University Nijmegen in the Netherlands, and Moscow Technological University proposed a way to improve the performance of memory through using T-waves, or terahertz radiation, as a means of resetting memory cells. This process is several thousand... » read more

What’s Missing From Machine Learning


Machine learning is everywhere. It's being used to optimize complex chips, balance power and performance inside of data centers, program robots, and to keep expensive electronics updated and operating. What's less obvious, though, is there are no commercially available tools to validate, verify and debug these systems once machines evolve beyond the final specification. The expectation is th... » read more

Decoding The Brain


At the Design Automation Conference this year, Lou Scheffer, principal scientist for the Howard Hughes Medical Institute, gave a visionary talk entitled Learning from Life: Biologically Inspired Electronic Design. Scheffer is an IC design guy who came through Stanford and Caltech and worked for HP and [getentity id="22032" e_name="Cadence"] before switching to the medical field eight years a... » read more

Plotting The Next Semiconductor Road Map


The semiconductor industry is retrenching around new technologies and markets as Moore's Law becomes harder to sustain and growth rates in smart phones continue to flatten. In the past, it was a sure bet that pushing to the next process node would provide improvements in power, performance and cost. But after 22nm, the economics change due to the need for multi-patterning and finFETs, and th... » read more

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