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Intelligence in the Fog

Intelligence in the Fog
by Bernard Murphy on 06-12-2019 at 5:00 am

By now, you should know about AI in the cloud for natural language processing, image ID, recommendation, etc, etc (thanks to Google, Facebook, AWS, Baidu and several others) and AI on the edge for collision avoidance, lane-keeping, voice recognition and many other applications. But did you know about AI in the fog? First, a credit… Read More


What are SOTIF and Fail-Operational and Does This Affect You?

What are SOTIF and Fail-Operational and Does This Affect You?
by Bernard Murphy on 05-22-2019 at 7:00 am

Standards committees, the military and governmental organizations are drawn to acronyms as moths are drawn to a flame, though few of them seem overly concerned with the elegance or memorability of these handles. One such example is SOTIF – Safety of the Intended Function – more formally known as ISO/PAS 21448. This is a follow-on… Read More


ML and Memories: A Complex Relationship

ML and Memories: A Complex Relationship
by Bernard Murphy on 04-18-2019 at 7:00 am

No, I’m not going to talk about in-memory-compute architectures. There’s interesting work being done there but here I’m going to talk here about mainstream architectures for memory support in Machine Learning (ML) designs. These are still based on conventional memory components/IP such as cache, register files, SRAM and various… Read More


Qualcomm Intel Facebook and Semiconductor IP

Qualcomm Intel Facebook and Semiconductor IP
by Daniel Nenni on 03-20-2019 at 12:00 am

What does Qualcomm, Intel, and Facebook have in common? Well, for one thing they all bought network onchip communications (NoC) IP companies. As I have mentioned before, semiconductor IP is the foundation of the fabless semiconductor ecosystem and I believe this trend of acquisitions will continue. So, if you are going to start… 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


Safety: Big Opportunity, A Long and Hard Road

Safety: Big Opportunity, A Long and Hard Road
by Bernard Murphy on 02-27-2019 at 7:00 am

Safety, especially in road vehicles (cars, trucks, motorcycles, etc.), gets a lot of press these days. From the point of view of vendors near the bottom of the value chain it can seem that this just adds another item to the list of product requirements; as long as you have that covered, everything else remains pretty much the same 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


Disturbances in the AI Force

Disturbances in the AI Force
by Bernard Murphy on 01-03-2019 at 7:00 am

In the normal evolution of specialized hardware IP functions, initial implementations start in academic research or R&D in big semiconductor companies, motivating new ventures specializing in functions of that type, who then either build critical mass to make it as a chip or IP supplier (such as Mobileye – intially)… Read More


On-Chip Networks at the Bleeding Edge of ML

On-Chip Networks at the Bleeding Edge of ML
by Bernard Murphy on 11-29-2018 at 7:00 am

I wrote a while back about some of the more exotic architectures for machine learning (ML), especially for neural net (NN) training in the data center but also in some edge applications. In less hairy applications, we’re used to seeing CPU-based NNs at the low end, GPUs most commonly (and most widely known) in data centers as the workhorse… Read More


Supporting ASIL-D Through Your Network on Chip

Supporting ASIL-D Through Your Network on Chip
by Bernard Murphy on 09-20-2018 at 7:00 am

The ISO 26262 standard defines four Automotive Safety Integrity Levels (ASILs), from A to D, technically measures of risk rather than safety mechanisms, of which ASIL-D is the highest. ASIL-D represents a failure potentially causing severe or fatal injury in a reasonably common situation over which the driver has little control.… Read More