Author's Latest Posts


AI’s Blind Spots


The rush to utilize AI/ML in nearly everything and everywhere raises some serious questions about how all of this technology will evolve, age and perform over time. AI is very useful at doing certain tasks, notably finding patterns and relationships in broad data sets that are well beyond the capabilities of the human mind. This is very valuable for adding efficiency into processes of all so... » read more

Different Ways To Improve Chip Reliability


A push toward greater reliability in safety- and mission-critical applications is prompting some innovative approaches in semiconductor design, manufacturing, and post-production analysis of chip behavior. While quality over time has come under intensive scrutiny in automotive, where German carmakers require chips to last 18 years with zero defects, it isn't the only market demanding extende... » read more

Leveraging Data In Chipmaking


John Kibarian, president and CEO of PDF Solutions, sat down with Semiconductor Engineering to talk about the impact of data analytics on everything from yield and reliability to the inner structure of organizations, how the cloud and edge will work together, and where the big threats are in the future. SE: When did you recognize that data would be so critical to hardware design and manufact... » read more

How 5G Affects Test


David Hall, head of semiconductor marketing at National Instruments, talks with Semiconductor Engineering about architectural changes to infrastructure due to the rollout of 5G and how the move from macrocells to small cells is changing test requirements.         Subscribe to Semiconductor Engineering's YouTube Channel here » read more

The Last Mile


The race to autonomous driving is looking a lot less like a race these days. German automakers pushed the likely date for Level 5 autonomous driving back to 2032 from 2027, according to attendees at the International Congress for Automotive Electronics (ELIV) in Bonn last month. There are a number of reasons for this. The first is cost. The amount of processing needed to make the split-secon... » read more

Revving Up For Edge Computing


The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

Simultaneous Localization And Mapping


Amol Borkar, senior product manager at Cadence, explains how to track the movement of an object in a scene and how to match features from one image to the next using SLAM. The technology is used in everything from mobile phones to automotive and drones. » read more

Which Verification Engine When


Frank Schirrmeister, group director for product marketing at Cadence, talks about which tools get used throughout the design flow, from architecture to simulation, formal verification, emulation, prototyping all the way to production, how the cloud has impacted the direction of the flow, and how machine learning will impact verification. » read more

Visually Assisted Layout In Custom Design


Avina Verma, group director for R&D in Synopsys’ Design Group, explains why visual feedback and graphical guidance are so critical in complex layouts, particularly for mixed-signal environments. » read more

Disaggregation Of The SoC


The rise of edge computing could do to the cloud what the PC did to the minicomputer and the mainframe. In the end, all of those co-existed (despite the fact that the minicomputer morphed into commodity servers from companies like Dell and HP). What's different this time around is that the computing done inside of those boxes is moving. It is being distributed in ways never considered feasi... » read more

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