ARMing AI/ML

ARMing AI/ML
by Bernard Murphy on 03-24-2017 at 7:00 am

There is huge momentum building behind AI, machine learning (ML) and deep learning; unsurprisingly ARM has been busy preparing their own contribution to this space. They announced this week a new multi-core micro-architecture called DynamIQ, covering all Cortex-A processors, whose purpose is in their words, “to redefine Read More


Machine Learning for Dummies

Machine Learning for Dummies
by Kartik Hosanagar on 02-08-2017 at 7:00 am

I write a lot about data-driven algorithms, in particular those informed by Machine Learning. I thought it would be nice to give the low-down on machine learning for the uninitiated. Below, I discuss four essential questions. The answers are based, in part, from a recent discussion with Pedro Domingos, author of The Master AlgorithmRead More


SPICE Model Generation using Machine Learning

SPICE Model Generation using Machine Learning
by Daniel Payne on 02-05-2017 at 10:00 pm

AI and machine learning are two popular buzz words in the high-tech daily news, so you should be getting used to hearing about them by now. What I hadn’t realized was that EDA companies are starting to use machine learning techniques, and specifically targeted at the daunting and compute intensive task of creating SPICE models… Read More


Adversarial Machine Learning

Adversarial Machine Learning
by Bernard Murphy on 01-20-2017 at 7:00 am

It had to happen. We’ve read about hacking deep learning / machine learning, so now there is a discipline emerging around studying and defending against potential attacks. Of course, the nature of attacks isn’t the same; you can’t really write an algorithmic attack against a non-algorithmic analysis (or at least a non-standard… Read More


Intelligent Vision in (almost) Every Application

Intelligent Vision in (almost) Every Application
by Eric Esteve on 01-06-2017 at 12:00 pm

Let’s take a look at the tremendous penetration of intelligent vision in so many and various applications. A few years ago, computer vision algorithms were implemented in applications directly linked with imaging, like computational photography for smartphones and cameras. We can mention today a bunch of segments like automotive,… Read More


NetSpeed Leverages Machine Learning for Automotive IC End-to-End QoS Solutions

NetSpeed Leverages Machine Learning for Automotive IC End-to-End QoS Solutions
by Mitch Heins on 12-24-2016 at 4:00 pm

A couple of weeks back I wrote an article about the use of machine learning and deep neural networks in self-driving cars. Now I find that machine learning is also being applied to help build advanced end-to-end QoS (quality of service) solutions for the automotive IC market. With the advent of self-driving cars comes requirements… Read More


NVIDIA’s Deep Learning GPUs Driving Your Car!

NVIDIA’s Deep Learning GPUs Driving Your Car!
by Mitch Heins on 12-09-2016 at 4:00 pm

In a recent SemiWiki article it was noted that 5 of the top 20 semiconductor suppliers are showing double-digit gains for 2016. At the top of the list was NVIDIA with an annual growth rate of 35%. Most of this gain is due to sales of its graphics processors (GPUs) which one normally associates with high performance computer gaming engines.… Read More


CEO Interview: Albert Li of Platform DA

CEO Interview: Albert Li of Platform DA
by Daniel Nenni on 11-27-2016 at 7:00 am

Platform Design Automation, Inc (PDA). recently closed a US$6 million pre Series A investment round, and the company has shifted its focus from providing SPICE modeling related software and services to forming a complete AI-driven ecosystem from probing to simulation. Albert Li was the GM of Accelicon, a leading EDA tool and … Read More


These 6 new technology rules will govern our future

These 6 new technology rules will govern our future
by Vivek Wadhwa on 11-24-2016 at 7:00 am

Technology is advancing so rapidly that we will experience radical changes in society not only in our lifetimes but in the coming years. We have already begun to see ways in which computing, sensors, artificial intelligence and genomics are reshaping entire industries and our daily lives. As we undergo this rapid change, many … Read More


AI on the Edge

AI on the Edge
by Bernard Murphy on 11-02-2016 at 7:00 am

A lot of the press we see on AI tends to be of the “big iron” variety – recognition algorithms for Facebook images, Google TensorFlow and IBM Watson systems. But AI is already on edge-nodes such as smartphones and home automation hubs, for functions like voice-recognition, facial recognition and natural language understanding.… Read More