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Ann Mutschler

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Ann Mutschler is senior executive editor at Semiconductor Engineering.

Author's Latest Posts

ADAS Vehicles Will Hit Roads Soon. Should They?
By Ann Mutschler - 07 Sep, 2017 - Comments: 0

Adding fuel to the flurry of activity surrounding autonomous vehicles, yesterday afternoon, the U.S. House of Representatives voted unanimously to approve Bill 3388: ‘To amend title 49, United States Code, regarding the authority of the National Highway Traffic Safety Administration over highly automated vehicles, to provide safety measures for such vehicles, and for other purposes.’ The... » read more

System Bits: Sept. 5
By Ann Mutschler - 05 Sep, 2017 - Comments: 0

Reducing power consumption of datacenter caches As is commonly understood, most websites store data in databases, and since database queries are relatively slow, most sites also maintain so-called cache servers, which list the results of common queries for faster access, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) reminded. They noted that a data ce... » read more

System Bits: Aug. 29
By Ann Mutschler - 29 Aug, 2017 - Comments: 0

Could video goggles, and a tiny implant cure blindness? Incredibly, the world of medical research is on the verge of curing blindness. Similar to cochlear implants for deaf people, Stanford University scientists and engineers are developing new devices to this end, including a bionic vision system based on photovoltaic implants, which is awaiting approval for human clinical trials in Europe. A... » read more

Tools To Design CNNs
By Ann Mutschler - 28 Aug, 2017 - Comments: 2

Convolutional neural networks are becoming a mainstay in machine learning and artificial intelligence, allowing a network of distributed sensors to collect data and send them to a central brain for processing. This is a relatively simple idea in comparison to today's technology, and the idea of the [getkc id="261" kc_name="convolutional neural network"] has been around for some time. But bui... » read more

When Is Verification Complete?
By Ann Mutschler - 24 Aug, 2017 - Comments: 0

Deciding when verification is done is becoming a much more difficult decision, prompting verification teams to increasingly rely on metrics rather than just the tests listed in the verification plan. This trend has been underway for the past couple of process nodes, but it takes time to spot trends and determine whether they are real or just aberrations. The Wilson Research Group conducts a ... » read more

System Bits: Aug. 22
By Ann Mutschler - 22 Aug, 2017 - Comments: 0

Bioimaging technique tracks multiple in vivo interactions To make it possible to quickly and economically monitor multiple molecular interactions in a large area of living tissue – such as an organ or a small animal — Rensselaer Polytechnic Institute researchers have created an approach to optical imaging that could have applications in medical diagnosis, guided surgery, or pre-clinical dr... » read more

How Reliable Are FinFETs?
By Ann Mutschler - 16 Aug, 2017 - Comments: 1

Stringent safety requirements in the automotive and industrial sectors are forcing chipmakers to re-examine a number of factors that can impact reliability over the lifespan of a device. Many of these concerns are not new. Electrical overstress (EOS), electrostatic discharge (ESD) and [getkc id="160" kc_name="electromigration"] (EM) are well understood, and have been addressed by EDA tools f... » read more

System Bits: Aug. 15
By Ann Mutschler - 15 Aug, 2017 - Comments: 0

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

Applying Machine Learning
By Ann Mutschler - 13 Aug, 2017 - Comments: 0

Sundari Mitra, co-founder and CEO of NetSpeed Systems, sat down with Semiconductor Engineering to discuss machine learning, training algorithms, what customers are struggling with today, and how startups fare in an increasingly consolidated semiconductor industry. What follows are excerpts of that conversation. SE: Machine learning is booming. How will this change design? Mitra: This is a... » read more

Computer Vision Powers Startups, Bleeding Edge Processes
By Ann Mutschler - 10 Aug, 2017 - Comments: 0

You can’t turn around these days without walking into a convolutional neural network…..oh wait, maybe not yet, but sometime in the not-too-distant future, we’ll be riding in vehicles controlled by them. While not a new concept, CNNs are finally making the big time, as evidenced by a significant upswell in startup activity, tracked by Chris Rowen, CEO of Cognite Ventures. According to h... » read more

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