A No-Fudge ML Architecture for Arm

A No-Fudge ML Architecture for Arm
by Bernard Murphy on 11-12-2019 at 5:00 am

Ethos applications

At TechCon I had a 1×1 with Steve Roddy, VP of product marketing in the Machine Learning (ML) Group at Arm. I wanted to learn more about their ML direction since I previously felt that, amid a sea of special ML architectures from everyone else, they were somewhat fudging their position in this space. What I heard earlier was that… Read More


AI Hardware Summit, Report #3: Enabling On-Device Intelligence

AI Hardware Summit, Report #3: Enabling On-Device Intelligence
by Randy Smith on 10-03-2019 at 6:00 am

This is the third and final blog I have written about the recent AI Hardware Summit held at the Computer History Museum in Mountain View, CA. Day 1 of the conference was more about solutions in the data center, whereas Day 2 was primarily around solutions at the Edge. This presentation from Day 2 was given by Dr. Thomas Anderson, Head,… Read More


Mathematics are Hard – That is Why AI Needs Mathematics Hardware

Mathematics are Hard – That is Why AI Needs Mathematics Hardware
by Tom Simon on 01-29-2019 at 7:00 am

The field of artificial intelligence has relied on heavy inspiration from the world of natural intelligence, such as the human mind, to build working systems that can learn and act on new information based on that learning. In natural networks, neurons do the work, deciding when to fire based on huge numbers of inputs. The relationship… Read More


AI processing requirements reveal weaknesses in current methods

AI processing requirements reveal weaknesses in current methods
by Tom Simon on 05-07-2018 at 12:00 pm

The traditional ways of boosting computing throughput are either to increase operating frequency or to use multiprocessing. The industry has done a good job of applying these techniques to maintain a steady increase in performance. However, there is a discontinuity in the needs for processing power. Artificial Intelligence… Read More


Mentor Investigates Using Neural Networks for CMP Modeling

Mentor Investigates Using Neural Networks for CMP Modeling
by Mitch Heins on 01-12-2018 at 12:00 pm

I recently read a new white paper release by Mentor, a Siemens Business, that delved into the intricacies of Chemical Mechanical Polishing (CMP) and I got a sense of Déjà vu. My professional career in the IC industry started at Texas instruments and the white paper made me think of a conversation I had with one of my colleagues over … Read More


Cadence loads up on MACs for vision with CNNs

Cadence loads up on MACs for vision with CNNs
by Don Dingee on 05-02-2016 at 4:00 pm

For vision DSP IP running convolutional neural networks (CNNs), a big driver of performance is increasing the bits processed per cycle with parallel MACs. Tom Simon did a great job in recent posts of introducing CNNs at a high level, so I’ll look at what is architecturally behind Cadence’s latest announcement: the Tensilica Vision… Read More


Life, the Universe and Everything

Life, the Universe and Everything
by Bernard Murphy on 02-28-2016 at 12:00 pm

In Douglas Adams’ iconic series A hitchhiker’s guide to the galaxya super-intelligent species created a super-powerful computer called Deep Thought to answer the ultimate question – what is the meaning of life (and the universe and everything)? Life imitates art so it should come as no surprise that a team in London founded a venture… Read More


Steve Furber has found his million ARM cores

Steve Furber has found his million ARM cores
by Don Dingee on 01-25-2016 at 12:00 pm

Some people say that everything in our lives happens for a reason. As we wrote Part I of “Mobile Unleashed”, the origin story of ARM architecture and its main progenitors Steve Furber and Sophie Wilson, we found what seemed like an obvious technological breakthrough was far from an overnight success – and it led to fascinating twists… Read More


Is This a Dagger Which I See Before Me?

Is This a Dagger Which I See Before Me?
by Bernard Murphy on 10-29-2015 at 4:00 pm

Macbeth may have been uncertain of what he saw but, until recently, image recognition systems would have fared even less well. The energy and innovation put into increasingly complex algorithms always seemed to fall short of what any animal (including us humans) is able to do without effort. Machine vision algorithms have especially… Read More


IBM thinks neural nets in chip with 4K cores

IBM thinks neural nets in chip with 4K cores
by Don Dingee on 08-08-2014 at 2:00 pm

Neural networks have been the darlings of researchers since the 1940s, but have eluded practical hardware implementations on all but a small scale, or an enormous one given how many processing elements and interconnects are needed. To make significant brain-like decisions, one needs at least several thousand fairly capable… Read More