Optimizing power and increasing data throughput in advanced multi-core AI/ML/DL devices

Optimizing power and increasing data throughput in advanced multi-core AI/ML/DL devices
by Daniel Nenni on 04-26-2020 at 8:00 am

If you are working on complex Artificial Intelligence (AI) or Machine Learning (ML) or Deep Learning (DL) designs using advanced node processes, you will understand the motivations for optimising CPU utilisation, device power and processing speed. Cutting-edge AI, ML & DL chips, by their very nature, are susceptible to… Read More


Key Applications for Chip Monitoring

Key Applications for Chip Monitoring
by Daniel Nenni on 04-24-2020 at 2:00 pm

Richard McPartland

One of the side benefits of working with SemiWiki is that you get to meet a broad range of people and in the semiconductor industry that means a broad range of very smart people, absolutely.

Recently I had the pleasure to meet Richard McPartland of Moortec. Richard and I started in the semiconductor industry at the same time but from… Read More


Let The AI Benchmark Wars Begin!

Let The AI Benchmark Wars Begin!
by Michael Gschwind on 01-01-2019 at 7:00 am

Why benchmark competition enables breakthrough innovation in AI. Two years ago I inadvertently started a war. And I couldn’t be happier with the outcome. While wars fought on the battle field of human misery and death never have winners, this “war” is different. It is a competition of human ingenuity to create new technologies … Read More


What does a Deep Learning Chip look like

What does a Deep Learning Chip look like
by Daniel Nenni on 02-16-2018 at 12:00 pm

There’s been a lot of discussion of late about deep learning technology and its impact on many markets and products. A lot of the technology under discussion is basically hardware implementations of neural networks, a concept that’s been around for a while.

What’s new is the compute power that advanced semiconductor technology… Read More


How Deep Learning Works, Maybe

How Deep Learning Works, Maybe
by Bernard Murphy on 01-04-2018 at 7:00 am

Deep learning, modeled (loosely) on the way living neurons interact, has achieved amazing success in automating recognition tasks, from recognizing images more accurately in some cases than we or even experts can, to recognizing speech and written text. The engineering behind this technology revolution continues to advance… Read More


TSMC EDA 2.0 With Machine Learning: Are We There Yet ?

TSMC EDA 2.0 With Machine Learning: Are We There Yet ?
by Alex Tan on 11-06-2017 at 7:00 am

Recently we have been swamped by news of Artificial Intelligence applications in hardware and software by the increased adoption of Machine Learning (ML) and the shift of electronic industry towards IoT and automobiles. While plenty of discussions have covered the progress of embedded intelligence in product roll-outs, anRead More


Design Data Intelligence

Design Data Intelligence
by Bernard Murphy on 11-02-2017 at 7:00 am

We have an urge to categorize companies, and when our limited perspective is of a company that helps with design, we categorize it as an EDA company. That was my view of Magillem, but I have commented before that my view is changing. I’m now more inclined to see them more as the design equivalent of a business intelligence organization… Read More


Semiconductor IP on Fortune’s 2017 100 Fastest-Growing Companies List!

Semiconductor IP on Fortune’s 2017 100 Fastest-Growing Companies List!
by Daniel Nenni on 10-04-2017 at 7:00 am

The Semiconductor IP market has always been a big draw for SemiWiki readership and I expect that to continue. One of the more interesting companies we have covered over the past 6+ years is CEVA, who is now on Fortune’s 2017 100 Fastest-Growing Companies List. In fact, CEVA is the ONLY semiconductor IP company on the list and they join… Read More


The Next Big Thing in Deep Learning

The Next Big Thing in Deep Learning
by Bernard Murphy on 02-14-2017 at 7:00 am

I mentioned adversarial learning in an earlier blog, used to harden recognition systems against bad actors who could use slightly tweaked images to force significant misidentification of objects. It’s now looking like methods of this nature aren’t just an interesting sidebar on machine learning, they are driving major advances… Read More


The Other Half of AI

The Other Half of AI
by Bernard Murphy on 12-27-2016 at 7:00 am

I touched earlier on challenges that can appear in AI systems which operate as black-boxes, particularly in deep learning systems. Problems are limited when applied to simple recognition tasks, e.g. recognizing a speed limit posted on a sign. In these cases, the recognition task is (from a human viewpoint) simply choosing from… Read More