Executive Insight: Wally Rhines


[getperson id="11694" p_name="Wally Rhines"], chairman and CEO of [getentity id="22017" e_name="Mentor Graphics"], sat down with Semiconductor Engineering to talk about changes in automotive electronics, IoT security issues, and how this affects semiconductor design. What follows are excerpts of that conversation. SE: In automotive, one of the big changes is that we are no longer dealing wit... » read more

In An Election Year: OTP For IoT


Borrowing from this year’s hottest topic –– the Presidential Election –– let’s nominate one-time programmable (OTP) embedded memory for the Internet of Things (IoT). It’s sure to be the winner for any number of reasons, but most likely it is because of its built-in security features. As a memory-on-chip technology, antifuse OTP is paving the way for IoT designers to come up with n... » read more

Reduced Memory Power For Internet of Things Applications


Memory has historically been a very stable technology, whether volatile or non-volatile. Incremental change happens constantly to improve performance, but it’s unusual for a major change to take place. The non-volatile one-time-programmable memory approach that Kilopass uses has been in place for thirteen years with no major changes. Now, however, Kilopass is readying a new memory array for t... » read more

Data Management For IIoT Devices: Is Your Software Stack Up To Task?


By now we’ve heard about the great things the IIoT will bring; increased productivity, improved operational efficiency, innovation, greater competitiveness the global markets, and so on. But there’s a major shift underway that’s worth mentioning. …what is this shift? Image courtesy of EETimes. The rise of the edge device Today we are seeing intelligent processing and ... » read more

What Can Go Wrong In Automotive


Semiconductor Engineering sat down to discuss automotive engineering with Jinesh Jain, supervisor for advanced architectures in Ford’s Research and Innovation Center in Palo Alto; Raed Shatara, market development for automotive infotainment at [getentity id="22331" comment="STMicroelectronics"]; Joe Hupcey, verification product technologist at [getentity id="22017" e_name="Mentor Graphics"]; ... » read more

Aftermarket Autonomous Vehicle Race Heats Up


It’s not just car companies that are racing to build self-driving vehicles. An entire ecosystem is sprouting up around retrofitting existing vehicles with autonomous technology, despite the fact that the technology, infrastructure, regulatory and insurance issues are still not fully formed. Uber already is using self-driving taxis, accompanied by a human driver, in Pittsburgh, Pa. And many... » read more

Optimize Your Software Stack For Industrial Internet Of Things Devices


Mentor Graphics, Raima, and Datalight have collaborated to define and measure data management for IIoT edge devices. This paper examines the benefits that come from optimizing the software components of the data storage stack in terms of performance, reliability and device lifetime. According to Accenture, the Industrial Internet of Things (IIoT) will help companies boost revenues by increas... » read more

The Week In Review: IoT


Deals SAP will invest more than $2.2 billion in the Internet of Things by 2020, including acquisitions, and it has formed a new line of business called SAP IoT. The software giant this week reported its purchase of an Italian startup, PLAT.ONE, which will be integrated into SAP IoT. “It is a big and growing market and we think we can be a significant part of it,” said Tanja Rucker, SAP’s... » read more

The Week In Review: IoT


Security The Industrial Internet Consortium this week unveiled the Industrial Internet Security Framework, a set of specifications for connected health-care devices and hospitals, intelligent transportation, smart electrical grids, smart factories, and other cyber-physical systems in the Internet of Things. AT&T, Fujitsu, Hitachi, Infineon Technologies, Intel, Microsoft, and Symantec are among... » read more

Plugging Holes In Machine Learning


The number of companies using machine learning is accelerating, but so far there are no tools to validate, verify and debug these systems. That presents a problem for the chipmakers and systems companies that increasingly rely on machine learning to optimize their technology because, at least for now, it creates the potential for errors that are extremely difficult to trace and fix. At the s... » read more

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