Week In Review: Design, Low Power


M&A Microchip Technology acquired LegUp Computing, a provider of a high-level synthesis compiler that automatically generates high-performance FPGA hardware from software. The LegUp HLS tool will be used alongside Microchip’s VectorBlox Accelerator Software Design kit and VectorBlox Neural Networking IP generator to provide a complete front-end solution stack for C/C++ algorithm develope... » read more

Are Better Machine Training Approaches Ahead?


We live in a time of unparalleled use of machine learning (ML), but it relies on one approach to training the models that are implemented in artificial neural networks (ANNs) — so named because they’re not neuromorphic. But other training approaches, some of which are more biomimetic than others, are being developed. The big question remains whether any of them will become commercially viab... » read more

System Bits: Aug. 27


A ring of 18 carbon atoms Scientists at IBM Research – Zurich and Oxford University write about allotropes of carbon – the many versions of atomic carbon formations, such as diamonds and graphite. “Carbon, one of the most abundant elements in the universe, can exist in different forms - called allotropes - giving it completely different properties from color to shape to hardness. For... » read more

Blog Review: May 29


Cadence's Meera Collier traces the evolution of computing through the series of bottlenecks the industry has needed to overcome and what's being done to address the latest one. Mentor's Rebecca Lord checks out the use of differential signals to mitigate the effects of electromagnetic interference, noise, and crosstalk in PCBs. Synopsys' Taylor Armerding considers whether Ireland's slow en... » read more

Using Analog For AI


If the only tool you have is a hammer, everything looks like a nail. But development of artificial intelligence (AI) applications and the compute platforms for them may be overlooking an alternative technology—analog. The semiconductor industry has a firm understanding of digital electronics and has been very successful making it scale. It is predictable, has good yield, and while every de... » read more

Week in Review: IoT, Security, Auto


Internet of Things Is Google developing a Pixel Watch wearable? Perhaps, if recent job listings are any indication. The company recently was looking to hire someone as vice president of hardware engineering, wearables. Last month, Fossil Group sold smartwatch technology intellectual property to Google for $40 million, while Google hired certain members of Fossil’s wearables R&D team. ... » read more

System Bits: July 16


Test tube AI neural network In a significant step towards demonstrating the capacity to program artificial intelligence into synthetic biomolecular circuits, Caltech researchers have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers. The work was done in the laboratory of Lulu Qian, assistant p... » read more

Tuesday At DAC 2018


The morning starts with the Accellera Breakfast. Accellera has made some significant progress this year and we can expect to hear about the approval of the Portable Stimulus 1.0 specification later in the conference as well as the initial release of SystemC CCI as well as a proposal for the creation of an IP Security Assurance Working Group, which will discuss standards development to address s... » read more

Monday At DAC 2018


DAC #55 started with rumors flying. Will this be the last DAC as we know it? Is there a huge chasm forming between academia and the industry? Will DAC be able to make it in Las Vegas where there is no local interest? Of course, those who have been in the industry know that this kind of speculation happens every few years, and in the 80s, Las Vegas was a very popular location for DAC. There was ... » read more

IBM Takes AI In Different Directions


Jeff Welser, vice president and lab director at IBM Research Almaden, sat down with Semiconductor Engineering to discuss what's changing in artificial intelligence and what challenges still remain. What follows are excerpts of that conversation. SE: What's changing in AI and why? Welser: The most interesting thing in AI right now is that we've moved from narrow AI, where we've proven you... » read more

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