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Ann Mutschler

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Ann Mutschler is executive editor at Semiconductor Engineering.

Author's Latest Posts

Advanced Packaging Moves To Cars
By Ann Mutschler - 07 Aug, 2017 - Comments: 0

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
By Ann Mutschler - 02 Aug, 2017 - Comments: 0

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?
By Ann Mutschler - 27 Jul, 2017 - Comments: 0

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
By Ann Mutschler - 26 Jul, 2017 - Comments: 1

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
By Ann Mutschler - 25 Jul, 2017 - Comments: 0

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
By Ann Mutschler - 18 Jul, 2017 - Comments: 0

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
By Ann Mutschler - 17 Jul, 2017 - Comments: 1

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?
By Ann Mutschler - 13 Jul, 2017 - Comments: 0

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

Transistor Aging Intensifies At 10/7nm And Below
By Ann Mutschler - 13 Jul, 2017 - Comments: 0

Transistor aging and reliability are becoming much more troublesome for design teams at 10nm and below. Concepts like ‘infant mortality’ and 'bathtub curves' are not new to semiconductor design, but they largely dropped out of sight as methodologies and EDA tools improved. To get past infant mortality, a burn-in process would be done, particularly for memories. And for reliability, which... » read more

System Bits: July 11
By Ann Mutschler - 11 Jul, 2017 - Comments: 0

An algorithm to diagnose heart arrhythmias with cardiologist-level accuracy To speed diagnosis and improve treatment for people in rural locations, Stanford University researchers have developed a deep learning algorithm can diagnose 14 types of heart rhythm defects better than cardiologists. The algorithm can sift through hours of heart rhythm data generated by some wearable monitors to f... » read more

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