SM2: A Deep Neural Network Accelerator In 28nm

Deep learning algorithms present an exciting opportunity for efficient VLSI implementations due to several useful properties: (1) an embarrassingly parallel dataflow graph, (2) significant sparsity in model parameters and intermediate results, and (3) resilience to noisy computation and storage. Exploiting these characteristics can offer significantly improved performance and energy efficiency.... » read more

System Bits: Feb. 20

An evolution in electronics Restoring some semblance to those who have lost the sensation of touch has been a driving force behind Stanford University chemical engineer Zhenan Bao’s decades-long quest to create stretchable, electronically-sensitive synthetic materials. [caption id="attachment_24131783" align="aligncenter" width="300"] Zhenan Bao, the K.K. Lee professor of chemical engineer... » read more

The Race To Accelerate

Geoff Tate, CEO of [getentity id="22921" e_name="Flex Logix"], sat down with Semiconductor Engineering to discuss how the chip industry is changing, why that bodes well for embedded FPGAs, and what you need to be aware of when using programmable logic on the same die as other devices. What follows are excerpts of that conversation. SE: What are the biggest challenges facing the chip industry... » read more

System Bits: Aug. 15

Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that uses machine learning to pick different algorithms depending on network conditions thereby delivering a higher-quality streaming exp... » read more

The Week In Review: IoT

Legislation Four senators plan to introduce a bipartisan bill that would require federal government vendors to provide Internet-connected devices and equipment that is patchable and conforms to industry cybersecurity standards. Such products must not have unchangeable passwords or known security vulnerabilities. The bill was drafted with expert advice from the Atlantic Council and Harvard Univ... » read more

System Bits: July 18

Melanoma predicted from images with a high degree of accuracy by neural network model The poke and punch of traditional melanoma biopsies could be avoided in the near future, thanks to work by UC Santa Barbara researchers. UCSB undergrad Abhishek Bhattacharya is using the power of artificial intelligence to help people ascertain whether that new and strange mark is, in fact, the deadly skin... » read more

Manufacturing Bits: June 13

FeFET biz heats up The ferroelectric FET (FeFET) market is heating up. One company, Ferroelectric Memory Co. (FMC), has been developing FeFETs, a new memory type for use in standalone and embedded applications. Now, Imec is also developing FeFETs in both planar and vertical varieties. [caption id="attachment_147967" align="alignleft" width="239"] Imec's FeFET (Source: Imec)[/caption] ... » read more

System Bits: May 30

Diamonds for quantum computing Quantum computers are experimental devices that offer large speedups on some computational problems, and one promising approach to building them involves harnessing nanometer-scale atomic defects in diamond materials. At the same time, practical, diamond-based quantum computing devices will require the ability to position those defects at precise locations in com... » read more

System Bits: March 14

Neuromorphic computing While for five decades, Moore’s law held up pretty well, today, transistors and other electronic components are so small they’re beginning to bump up against fundamental physical limits on their size, and because Moore’s law has reached its end, it’s going to take something different to meet the need for computing that is ever faster, cheaper and more efficient. ... » read more

System Bits: March 7

Math picture language Harvard University researchers reminded that Galileo called mathematics the “language with which God wrote the universe,” as he described a picture-language. Now that language has a new dimension. [caption id="attachment_35501" align="alignright" width="300"] Arthur Jaffe (left) and Zhengwei Liu are the creators of a new, 3D pictorial language for mathematics. They b... » read more

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