Top Takeaways From SEMI-MSIG MEMS & Sensors Executive Congress 2017


The MEMS and sensors sector has been talking about smarter, lower power devices forever, but this year’s recent SEMI-MSIG Executive Congress stressed the market drivers and the emerging technologies that look to bring those changes to the market. Ubiquitous sensing now demands lower power for its always-aware sensors to be useful, while acoustic wave and piezoelectric technologies are emer... » read more

Quantum Madness


The race is on to commercialize quantum computing for everything from autonomous vehicles to supercomputers for hire. IBM has been working on a 50-qubit computer. Intel and QuTech, its Dutch research partner, showed off a 17-qubit test chip last month. And Alphabet, Google's parent company, is developing a 20-qubit computer. These numbers sound paltry compared to the billions of transistors ... » read more

The Next Phase Of Machine Learning


Machine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars. [getkc id="305" kc_name="Machine learning"] can apply to every corporate fu... » read more

2017 ITC Wrap-up


Advantest was among the exhibitors and corporate sponsors at last week’s 2017 International Test Conference in Fort Worth, Texas. The automatic test equipment company also presented papers, took part in sessions, and provided posters during ITC’s technical program. In the booth, Advantest demonstrated its on-demand CloudTesting Service. It also showed off its EVA100 analog/mixed-signal IC t... » read more

Which Verification Engine?


Semiconductor Engineering sat down to discuss the state of verification with Jean-Marie Brunet, senior director of marketing for emulation at [getentity id="22017" e_name="Mentor, a Siemens Business"]; Frank Schirrmeister, senior group director for product management at [getentity id="22032" e_name="Cadence"]; Dave Kelf, vice president of marketing at [getentity id="22395" e_name="OneSpin Solut... » read more

Making Machine Learning Portable


Machine learning is everywhere, and it has exploded at a pace no one would have expected. Even a year ago, ML was more of an experiment than a reality. NVIDIA's stock price (Fig. 1, below) is a good representation of just how quickly this market has grown. GPUs are the chip of choice for training machine learning systems. Fig. 1: Nvidia 5-year stock price. Source: Google Finance Ma... » read more

Move Data Or Process In Place?


Should data move to available processors or should processors be placed close to memory? That is a question the academic community has been looking at for decades. Moving data is one of the most expensive and power-consuming tasks, and is often the limiter to system performance. Within a chip, Moore's Law has enabled designers to physically move memory closer to processing, and that has rema... » read more

Targeting And Tailoring eFPGAs


Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to discuss what's changing in the embedded FPGA world, why new levels of customization are so important, and difficulty levels for implementing embedded programmability. What follows are excerpts of that discussion. SE: There are numerous ways you can go about creating a chip these days, but many of the prot... » read more

New Materials For Computing


The U.S. Department of Energy rolled out a new program to develop materials for "extreme conditions" for high-performance computing, setting the stage for much more mobile versions of AI and machine learning. This effort, if successful, has interesting implications on a number of levels. For one, the DOE's mandate includes everything from energy security to weaponry, and high-performance com... » read more

Data Centers Turn To New Memories


DRAM extensions and alternatives are starting to show up inside of data centers as the volume of data being processed, stored and accessed continues to skyrocket. This is having a big impact on the architecture of data centers, where the goal now is to move processing much closer to the data and to reduce latency everywhere. Memory has always been a key piece of the Von Neumann compute archi... » read more

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