Software-Defined Test And Measurement


Software-defined radios, instrumentation and test are ramping up alongside a flood of new technologies related to assisted and autonomous vehicles, 5G, and military/aerospace electronics, breathing new life and significant change into the test and measurement market. Software-defined test adds flexibility in markets where the products and protocols are evolving or still being defined, and wh... » read more

Rules Of The Driverless Road


The growing disparity among states, countries and carmakers over autonomous driving is turning what should be a logical progression into chaos. Consider what's happening in California, which is determined to remain the leader in this tech revolution. The state last month relaxed its testing rules so that cars can be monitored remotely, with no driver actually present inside the car. I... » read more

Challenges At The Edge


By Kevin Fogarty and Ed Sperling Edge computing is inching toward the mainstream as the tech industry begins grappling with the fact that far too much data will be generated by sensors to send everything back to the cloud for processing. The initial idea behind the IoT/IIoT, as well as other connected devices, was that simple sensors would relay raw data to the cloud for processing throug... » read more

Preparing For AI


Suppose an autonomous car is coming up an on-ramp onto a bridge. The ramp is fine, but the bridge is icy, and there’s an overturned bus full of children blocking several lanes. Children are evacuating through the windows and milling around on the pavement. There isn’t time to stop, even with the better-than-human reaction time an autonomous car might have. Swerving to one side might send... » read more

Finding And Fixing ML’s Flaws


OneSpin CEO Raik Brinkmann sat down with Semiconductor Engineering to discuss how to make machine learning more robust, predictable and consistent, and new ways to identify and fix problems that may crop up as these systems are deployed. What follows are excerpts of that conversation. SE: How do we make sure devices developed with machine learning behave as they're supposed to, and how do we... » read more

Re-Engineering Humanity


The technology industry is comfortable with trends that increase linearly for decades—and many that follow quadratic curves, also seemingly forever. Moore's Law and the rate of adoption of new technologies are two examples that come to mind. Those same trends can be used to scare or even create panic amongst a less informed general public. Such is the case with Artificial Intelligence (AI)... » read more

The Great Chip Shakeup


Facebook, Alibaba, Google, Apple and Samsung are all designing their own chips. So are Cisco and Huawei. So what exactly does this mean for big chipmakers and the semiconductor ecosystem? While your first impulse might be to draw a straight line between Qualcomm's decision to cut 1,500 jobs and reports about giant systems companies developing chips in-house, it's not clear there is any corre... » read more

Deep Learning And The Future


Following up from my last post on our deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation,” I’d like to take a glimpse into the future. Like many such discussions, it’s often useful to take a look back first to try and make sense out of what is to come.  That’s essentlially what our keynote speaker, Ty Garibay, did at the event. Ty is the CTO... » read more

New Market Drivers


Semiconductor Engineering sat down to discuss changing market dynamics with Steve Mensor, vice president of marketing for [getentity id="22926" e_name="Achronix"]; Apurva Kalia, vice president of R&D in the System and Verification group of [getentity id="22032" e_name="Cadence"]; Mohammed Kassem, CTO for [getentity id="22910" comment="efabless"]; Matthew Ballance, product engineer and techn... » read more

AI Accelerating Discovery


In early April 2018, the Materials Research Society held their spring meeting and exhibit at the Phoenix, Arizona convention center. With more than 110 symposium presentations, it was difficult to select which sessions to attend. But one forum caught my eye, “AI for Materials Development”. These days AI seems to be everywhere. As we all speculate about the impact of AI on autonomous driv... » read more

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