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


Disarming Trolls

Disarming Trolls
by Bernard Murphy on 10-20-2016 at 7:00 am

An unintended consequence of the ubiquity of the Internet, particularly in social media, is the rise of the troll. Trolls post comments of unbelievable vitriol in some cases, comments that if issued in person and in public might lead to arrest and psych evaluations. Then vitriol turns into viral vitriol and the helpless target … Read More


Machine Learning – Turning Up the Sizzle in EDA

Machine Learning – Turning Up the Sizzle in EDA
by Bernard Murphy on 10-13-2016 at 7:00 am

There’s always a lot of activity in EDA to innovate and refine specialized algorithms in functional modeling, implementation, verification and many other aspects of design automation. But when Google, Facebook, Amazon, IBM and Microsoft are pushing AI, deep learning, Big Data and cloud technologies, it can be hard not to see… Read More


Could Machine Learning be Available for Mass Market?

Could Machine Learning be Available for Mass Market?
by Eric Esteve on 10-03-2016 at 7:00 am

Machine Learning is at the hype peak, according with Gartner’s August 2016 Hype Cycle for Emerging Technologies. The demand for vision processor IP is strong in smartphone, automotive and consumer electronics segments. ASSP based solutions can make the job, but how can OEM create differentiation, control their destiny and … Read More


It’s a heterogeneous world and cache rules it now

It’s a heterogeneous world and cache rules it now
by Don Dingee on 09-28-2016 at 4:00 pm

Cache evolved when the world was all about homogeneous processing and slow and expensive shared memory. Now, compute is just part of the problem – devices need to handle display, connectivity, storage, and other tasks, all at the same time. Different, heterogeneous cores handle different workflows in the modern SoC, and the burden… Read More


FPGAs at Deep Machine Learning

FPGAs at Deep Machine Learning
by Claudio Avi Chami on 09-08-2016 at 12:00 pm

The concept of machine learning is not new. Attempts at systems emulating intelligent behavior, like expert systems, go as far back as the early 1980’s. And the very notion of modern Artificial Intelligence has a long history. The name itself was coined at a Dartmouth College conference (1956), but the idea of an “electronicRead More


What is Deep Learning?

What is Deep Learning?
by Ahmed Banafa on 08-25-2016 at 4:00 pm

Deep learningis an emerging topic in artificial intelligence (AI). A subcategory of machine learning, deep learning deals with the use of neural networks to improve things like speech recognition, computer vision, and natural language processing. It’s quickly becoming one of the most sought-after fields in computer… Read More


IoT Tutorial: Chapter 8 – Introducing Internet-of-Things (BigData) Steams and Analytics

IoT Tutorial: Chapter 8 – Introducing Internet-of-Things (BigData) Steams and Analytics

Introduction to IoT Analytics – IoT Analytics vs. BigData Analyticss. In the previous chapter of the IoT tutorial, we explained the affiliation between IoT data and BigData, given that IoT data expose the Vs of BigData. We also illustrated the activities comprising IoT data processing applications, such as data selection, validation,… Read More


A moment of IoT silence before we disrupt

A moment of IoT silence before we disrupt
by Don Dingee on 11-08-2015 at 12:00 pm

As I sat down in the SEMI Arizona Chapter breakfast meeting a few weeks ago, a moment of semiconductor history flew right before my eyes before the IoT sessions started.

We were seated in the cafeteria of Freescale Building 94 on Elliot Road in Tempe, a place I’d been many times before, except this time may have been the last. NXP is consolidating… Read More