Author's Latest Posts


Using CNNs To Speed Up Systems


Convolutional neural networks (CNNs) are becoming one of the key differentiators in system performance, reversing a decades-old trend that equated speed with processor clock frequencies, the number of transistors, and the instruction set architecture. Even with today's smartphones and PCs, it's difficult for users to differentiate between processors with 6, 8 or 16 cores. But as the amount o... » read more

System Bits: Aug. 8


Improving robot vision, virtual reality, self-driving cars In order to generate information-rich images and video frames that will enable robots to better navigate the world and understand certain aspects of their environment, such as object distance and surface texture, engineers at Stanford University and the University of California San Diego have developed a camera that generates 4D images... » read more

Advanced Packaging Moves To Cars


By Ann Steffora Mutschler and Ed Sperling As automotive OEMs come up to speed on electrification of vehicles, each at their own pace, they are starting to embrace novel packaging approaches as a way to differentiate themselves in an increasingly competitive market. Wirebond used to dominate this market, where most of the chips were relatively unsophisticated and product cycles were slow�... » read more

Using Machine Learning In EDA


Machine learning is beginning to have an impact on the EDA tools business, cutting the cost of designs by allowing tools to suggest solutions to common problems that would take design teams weeks or even months to work through. This reduces the cost of designs. It also potentially expands the market for EDA tools, opening the door to even new design starts and more chips from more compan... » read more

How Much Verification Is Necessary?


Since the advent of IC design flows, starting with RTL descriptions in languages like Verilog or VHDL, project teams have struggled with how much verification can and should be performed by the original RTL developers. Constrained-random methods based on high-level languages such as [gettech id="31021" t_name="e"] or [gettech id="31023" comment="SystemVerilog"] further cemented the role of t... » read more

Machine Learning Popularity Grows


Machine learning and deep learning are showing a sharp growth trajectory in many industries. Even the semiconductor industry, which generally has resisted this technology, is starting to changing its tune. Both [getkc id="305" kc_name="machine learning"] (ML) and deep learning (DL) have been successfully used for image recognition in autonomous driving, speech recognition in natural langua... » read more

System Bits: July 25


The language of glove In a development that allows the gestures in American Sign Language to be decoded, University of California San Diego researchers have developed a smart glove that also has application in virtual and augmented reality to telesurgery, technical training and defense. [caption id="attachment_232228" align="alignnone" width="300"] "The Language of Glove": a smart glove that ... » 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

Dealing With System-Level Power


Analyzing and managing power at the system level is becoming more difficult and more important—and slow to catch on. There are several reasons for this. First, design automation tools have lagged behind an understanding of what needs to be done. Second, modeling languages and standards are still in flux, and what exists today is considered inadequate. And third, while system-level power ha... » read more

Who’s Responsible For Transistor Aging Models?


While there are a number of ways to go about reliability and transistor aging analysis, it is all in large part dependent on fabs and foundries to provide the aging models. The situation is also not entirely clear in the semiconductor ecosystem because the classic over-the-wall mentality between design and manufacturing still exists. And unfortunately this wall is bi-directional. Not only... » read more

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