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Ann Mutschler

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Ann Mutschler is executive editor at Semiconductor Engineering.

Author's Latest Posts

Variation In Low-Power FinFET Designs
By Ann Mutschler - 30 Aug, 2018 - Comments: 1

One of the biggest advantages of moving to the a leading edge process node is ultra-low voltage operation, where devices can achieve better performance using less power. But the latest generation process nodes also introduce a number of new challenges due to increased variation that can affect everything from signal integrity to manufacturing yield. While variation is generally well understo... » read more

Partitioning Drives Architectural Considerations
By Ann Mutschler - 29 Aug, 2018 - Comments: 0

There are multiple reasons for design partitioning. One is complexity, because it’s faster and simpler to divide and conquer, particularly with third-party IP. A second reason involves power, where it may be more efficient to divide up functionality so each function be right-sized. A third involves performance, where memory utilization and processing can be split up according to functional pr... » read more

System Bits: Aug. 28
By Ann Mutschler - 28 Aug, 2018 - Comments: 0

Characterizing quantum computers To accelerate and simplify the imposing task of diagnosing quantum computers, a Rice University computer scientist and his colleagues have proposed a method to do just this. The development of a nonconventional method as a diagnostic tool for powerful, next-generation computers that depend on the spooky actions of quantum bits — aka qubits — which are sw... » read more

Gaps In Verification Metrics
By Ann Mutschler - 23 Aug, 2018 - Comments: 0

As design complexity has exploded, the verification effort has likewise grown exponentially, with many different types of verification being applied to different classes of design. A recent panel discussion with leading chipmakers examined this topic in an effort to shed light on design health and quality, measuring the success of verification, knowing when verification is complete, being on... » read more

System Bits: Aug. 21
By Ann Mutschler - 21 Aug, 2018 - Comments: 0

Two types of computers create faster, less energy-intensive image processor for autonomous cars, security cameras, medical devices Stanford University researchers reminded that the image recognition technology that underlies today’s autonomous cars and aerial drones depends on artificial intelligence. These are the computers that essentially teach themselves to recognize objects like a dog, ... » read more

System Bits: Aug. 14
By Ann Mutschler - 14 Aug, 2018 - Comments: 0

Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors In an effort to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer, MIT researchers are employing novel machine-learning techniques. According to the team, glioblastoma is a malignant tumor ... » read more

Process Variation Not A Solved Issue
By Ann Mutschler - 09 Aug, 2018 - Comments: 4

Semiconductor Engineering sat down to talk about process variation in advanced nodes, and how design teams are coping, with Christoph Sohrmann, a member of the Advanced Physical Verification group in Fraunhofer’s Division of Engineering of Adaptive Systems (EAS); Juan Rey, vice president of engineering at Mentor, A Siemens Business; and Stephen Crosher, CEO of Moortec Semiconductor. What foll... » read more

System Bits: Aug. 7
By Ann Mutschler - 07 Aug, 2018 - Comments: 0

ML leverages existing hospital patient data to detect trouble Focusing on emergency and critical care patients, a University of Michigan spinout, Fifth Eye, has developed a system that combines a machine learning algorithm with signal processing to monitor the autonomic nervous system of hospital patients and interprets the data every two minutes, which can sometimes be almost two days faster ... » read more

Auto Chip Ecosystem Needs Common Language
By Ann Mutschler - 02 Aug, 2018 - Comments: 0

In order to reach the levels of robustness that autonomous vehicles will require, companies throughout the automotive and semiconductor ecosystem are working with an eye toward high-sigma design. But along with this robustness, there must be a clear understanding of the situation at hand, how semiconductors can improve the number of vehicle fatalities, and make sure everyone is communicating... » read more

More Sigmas In Auto Chips
By Ann Mutschler - 02 Aug, 2018 - Comments: 0

The journey to autonomous cars is forcing fundamental changes in the way chips are designed, tested and tracked, from the overall system functionality to the IP that goes into those systems. This includes everything from new requirements for automotive-grade chips to longer mean time between failures. But it also makes it far more challenging, time-consuming and complicated to create these d... » read more

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