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Ann Mutschler

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Ann Mutschler is executive editor at Semiconductor Engineering.

Author's Latest Posts

System Bits: May 10
By Ann Mutschler - 10 May, 2016 - Comments: 0

Topological insulators In a finding that could open up a new pathway to advanced electronic devices and even robust quantum computer architecture, researchers from MIT; Oak Ridge, and Argonne National Laboratories; the Institute for Theoretical Physics in Bochum, Germany; the Institute for Theoretical Solid State Physics in Dresden; the Ecole Normale Superieure in Paris; and the Institute of N... » read more

Autonomous Vehicle Disruptions Ahead
By Ann Mutschler - 05 May, 2016 - Comments: 1

The promise of autonomous driving is a significant one, with far fewer fatalities from vehicle crashes — down from 30,000 annually — topping the list of benefits. Beyond that, autonomous driving also promises increased convenience and productivity and less troublesome commutes. But autonomous driving also pushes automotive technology into uncharted areas. There is little to fall back on ... » read more

IoT Security Reality Check
By Ann Mutschler - 05 May, 2016 - Comments: 0

Lorie Wigle, Intel Security’s VP and GM of IoT Security Solutions made a good point at SAE World Congress last month when she said, "The news feed is full of articles of hand wringing about how it's the Internet of Threats not the Internet of Things and the reality is we have technologies we've developed over the last 30 years in security and IT systems many of which are perfectly applicable ... » read more

System Bits: May 3
By Ann Mutschler - 03 May, 2016 - Comments: 0

Neural network synapses In a development that could potentially be used as a basis for the hardware implementation of artificial neural networks, Moscow Institute of Physics and Technology (MIPT) researchers have created prototypes of electronic synapses based on ultra-thin films of hafnium oxide (HfO2). The team made the HfO2-based memristors measuring just 40x40 nm2, which exhibit propert... » read more

Automating System Design
By Ann Mutschler - 02 May, 2016 - Comments: 1

Change is underway in the chip design world, creating opportunities and challenges that reach far beyond questions about whether Moore’s Law is slowing or stopping. Never before in the history of semiconductors has design been so complex and sophisticated, and never has it touched so many lives in so many interesting ways. This is all happening as a result of the chip’s enabling role in ... » read more

Bridging Hardware And Software
By Ann Mutschler - 28 Apr, 2016 - Comments: 1

The barriers between hardware and software design and verification are breaking down with more intricately integrated systems, bringing together different disciplines and tools. But there are lingering questions about exactly what this shift means design methodologies, team interactions, and what kind of training will be required in the future. Playing heavily into this is the fact that toda... » read more

System Bits: April 26
By Ann Mutschler - 26 Apr, 2016 - Comments: 0

Reconfigured Tesla coil electrifies materials In a development that could set a clear path toward scalable assembly of nanotubes from the bottom up, Rice University researchers have discovered that the strong force field emitted by a Tesla coil causes carbon nanotubes to self-assemble into long wires, a phenomenon they call Teslaphoresis. Rice chemist Paul Cherukuri led the team that develo... » read more

System Bits: April 19
By Ann Mutschler - 19 Apr, 2016 - Comments: 0

Debugging web apps MIT researchers reported that they’ve developed a system that can quickly comb through tens of thousands of lines of application code to find security flaws by exploiting some peculiarities of the Ruby on Rails web programming framework. The team said that in tests on 50 popular web applications written using Ruby on Rails, the system found 23 previously undiagnosed sec... » read more

Convolutional Neural Networks Power Ahead
By Ann Mutschler - 18 Apr, 2016 - Comments: 0

While the term may not be immediately recognizable, convolutional neural networks (CNNs) are already part of our daily lives—and they are expected to become even more significant in the near future. [getkc id="261" kc_name="Convolutional neural networks"] are a form of machine learning modeled on the way the brain's visual cortex distinguishes one object from another. That helps explain wh... » read more

Analyzing The Integrity Of Power
By Ann Mutschler - 14 Apr, 2016 - Comments: 0

Power analysis is shifting much earlier in the chip design process, with power emerging as the top design constraint at advanced process nodes. As engineering teams pack more functionality and content into bigger and more complex chips, they are having to deal with more complex interactions that affect everything from power to its impact on signal integrity and long-term reliability. That, i... » read more

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