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Using ML to Build Efficient Low Power Platforms for Augmented Vision

Using ML to Build Efficient Low Power Platforms for Augmented Vision
by Tom Simon on 04-16-2019 at 7:00 am

We are all pretty familiar with augmented reality, where real world images are overlaid with computer generated images, graphics and even audio. Of course, our first exposure to augmented reality might have been images of heads up displays in fighter jets or perhaps in the movie The Terminator. Augmented reality is moving rapidly… Read More


Real Time Object Recognition for Automotive Applications

Real Time Object Recognition for Automotive Applications
by Tom Simon on 04-12-2019 at 7:00 am

The basic principles used for neural networks have been understood for decades, what have changed to make them so successful in recent years are increased processing power, storage and training data. Layered on top of this is continued improvement in algorithms, often enabled by dramatic hardware performance improvements.… Read More


Spring Forward with AI

Spring Forward with AI
by Alex Tan on 03-28-2019 at 5:00 am


The euphoria of NCAA March Madness seems to spill over into the tech world. The epicenter of many tech talks this month spanning from GPU conference, OCP, SNUG to CASPA has evolved around an increased AI endorsement by many companies and its integration into many silicon driven applications. At this year CASPA Spring Symposium,… Read More


Segmenting the Machine-Learning Hardware Market

Segmenting the Machine-Learning Hardware Market
by Bernard Murphy on 03-13-2019 at 12:00 pm

One of the great pleasures in what I do is to work with people who are working with people in some of the hottest design areas today. A second-level indirect to be sure but that gives me the luxury of taking a broad view. A recent discussion I had with Kurt Shuler (VP Marketing at Arteris IP) is in this class. As a conscientious marketing… Read More


Data Centers and AI Chips Benefit from Embedded In-Chip Monitoring

Data Centers and AI Chips Benefit from Embedded In-Chip Monitoring
by Daniel Payne on 03-08-2019 at 12:00 pm

Webinars are a quick way to come up to speed with emerging trends in our semiconductor world, so I just finished watching an interesting one from Moortec about the benefits of embedded in-chip monitoring for Data Center and AIchip design. My first exposure to a data center was back in the 1960s during an elementary school class where… Read More


Mentor Showcases Digital Twin Demo

Mentor Showcases Digital Twin Demo
by Bernard Murphy on 03-06-2019 at 6:00 am

Mentor put on a very interesting tutorial at DVCon this year. Commonly DVCon tutorials center around a single tool; less commonly (in my recent experience) they will detail a solution flow but still within the confines of chip or chip + software design. It is rare indeed to see presentations on a full system design including realistic… Read More


A Preview of Spring Symposium on AIoT

A Preview of Spring Symposium on AIoT
by Alex Tan on 03-05-2019 at 12:00 pm

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The trend of AI augmentation into many facets of silicon based hardware applications is on the rise. During the CASPA press conference in Santa Clara last week, Silvaco CEO David Dutton and SiFive VP, GM Christopher Moezzi were present to share their insights.

Silvaco CEO David Dutton mentioned that we are in new era in which manyRead More


Machine Learning and Gödel

Machine Learning and Gödel
by Bernard Murphy on 02-06-2019 at 7:00 am

Scanning ACM tech news recently, I came across a piece that spoke to my inner nerd; I hope it will appeal to some of you also. The discovery will have no impact on markets or investments or probably anyone outside theories of machine learning. Its appeal is simply in the beauty of connecting a profound but obscure corner of mathematical… Read More


How to be Smart About DFT for AI Chips

How to be Smart About DFT for AI Chips
by Tom Simon on 01-31-2019 at 12:00 pm

We have entered the age of AI specific processors, where specialized silicon is being produced to tackle the compute needs of AI. Whether they use GPUs, embedded programmable logic or specialized CPUs, many AI chips are based on parallel processing. This makes sense because of the parallel nature of AI computing. As a result, in… Read More


Why High-End ML Hardware Goes Custom

Why High-End ML Hardware Goes Custom
by Bernard Murphy on 01-30-2019 at 7:00 am

In a hand-waving way it’s easy to answer why any hardware goes custom (ASIC): faster, lower power, more opportunity for differentiation, sometimes cost though price isn’t always a primary factor. But I wanted to do a bit better than hand-waving, especially because these ML hardware architectures can become pretty exotic, so … Read More