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Don’t believe the hype about AI in business

Don’t believe the hype about AI in business
by Vivek Wadhwa on 03-18-2018 at 7:00 am

To borrow a punch line from Duke professor Dan Ariely, artificial intelligence is like teenage sex: “Everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.” Even though AI systems can now learn a game and beat champions within hours, they are hard … Read More


Leading Edge Logic Landscape 2018

Leading Edge Logic Landscape 2018
by Scotten Jones on 03-16-2018 at 2:00 pm

The most viewed blogs I write for SemiWiki are consistently blogs comparing the four leading edge logic producers, GLOBALFOUNDRIES (GF), Intel, Samsung (SS) and TSMC. Since the last time I compared the leading edge new data has become available and several new processes have been introduced. In this blog I will update the current… Read More


Self-Driving Car Catch-22 and the Road to 5G

Self-Driving Car Catch-22 and the Road to 5G
by Roger C. Lanctot on 03-16-2018 at 12:00 pm

In the novel “Catch-22” from which the eponymous 1970 movie was made we learn of a fictional bureaucratic means by which the U.S. Air Force was able to keep bomber pilots (who might be going crazy) from successfully requesting a release from flying missions based on a medical evaluation. The rationale behind this supposed “catch”Read More


Don’t Stand Between The Anonymous Bug and Tape-Out (Part 2 of 2)

Don’t Stand Between The Anonymous Bug and Tape-Out (Part 2 of 2)
by Alex Tan on 03-16-2018 at 7:00 am


The second panel is about system coverage and big data. Coverage metrics have been used to gauge the quality of verification efforts during development. At system level, there are still no standardized metrics to measure full coverage. The emergence of PSS, better formal verification, enhanced emulation and prototyping techniques… Read More


Computer Vision and High-Level Synthesis

Computer Vision and High-Level Synthesis
by Daniel Payne on 03-15-2018 at 12:00 pm

Computer vision as a research topic has been around since the 1960’s and we are enjoying the benefits of this work in modern-day products all around us as robots with computer vision are performing an increasing number of tasks, even our farmers are using computer vision systems to become more productive:

  • AgEagle® has a drone
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Machine Learning Neural Nets and the On-Chip Network

Machine Learning Neural Nets and the On-Chip Network
by Bernard Murphy on 03-15-2018 at 7:00 am

Machine learning (ML), and neural nets (NNs) as a subset of ML, are blossoming in all sorts of applications, not just in the cloud but now even more at the edge. We can now find them in our phones, in our cars, even in IoT applications. We have all seen applications for intelligent vision (e.g. pedestrian detection) and voice recognition… Read More


New Architectures for Automotive Intelligence

New Architectures for Automotive Intelligence
by Tom Simon on 03-14-2018 at 12:00 pm

My first car was a used 1971 Volvo 142 and probably did not contain more than a handful of transistors. I used to joke that it could easily survive the EMP from a nuclear explosion. Now, of course, cars contain dozens or more processors, DSP’s and other chips containing millions of transistors. It’s widely expected that the number … Read More


CEO Interview: Ramy Iskander of Intento Design

CEO Interview: Ramy Iskander of Intento Design
by Daniel Nenni on 03-14-2018 at 7:00 am

One of the more interesting parts of blogging for SemiWiki is getting to know emerging EDA and IP companies from around the world. As I have mentioned before, there are some incredibly intelligent people in the fabless semiconductor ecosystem solving very complex problems. It is a two way exchange of course since we know the market… Read More


Webinar Alert – Embedded Monitoring of Process and Voltage in SoCs

Webinar Alert – Embedded Monitoring of Process and Voltage in SoCs
by Daniel Payne on 03-13-2018 at 12:00 pm

In the old days to learn about new semiconductor IP you would have to schedule a sales call, listen to the pitch, then decide if the IP was promising or not. Today we have webinars which offer a lot less drama than a sales call, plus you get to ask your questions by typing away at the comfort of your desk, hopefully wearing headphones as … Read More