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Allied with Intel, CEA-Leti Shoots for Moon

9/27/2016 10:38 AM EDT
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realjjj
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Re: I liked your IOT statement
realjjj   9/29/2016 6:24:09 PM
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About IoT , a system/network could be seen as a robot not a single edge device. A smart home, a smart factory or even the entire Tesla fleet are robots.

On Intel, i wasn't taking a shot at them but they will have the tendency to try and push as much work as possible to the cloud. That tends to not work very well because device makers and their suppliers always try to do as much as possible on device. That's why we aren't all using thin or terminal clients today. Intel was just an example, almost everybody has their vision distorted by wishful thinking.

spike_johan
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I liked your IOT statement
spike_johan   9/29/2016 4:15:14 PM
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@realjjj

The IoT can - I suppose - be likened to a type of robot as it is at its most basic just interconnected sensors. Never thought of the IoT as a robot before. A novel thought.

Your statement on Intel gave me pause as I think Intel has been doing a fine job of staying current and moving out of just being a server-class kind of company.

They have not just been taking in other people's laundry (ARM) to keep its IC plants chugging along but the company has also made two very strategic purchases that has positioned the company to keep current with the changing times.

In doing, Intel has made some brilliant moves and has effectively changed its (IA) Intel Architecture-centric view of the world - which demonstrates a huge leap forward, shedding past constraints; something other giants have stumbled over in the past - and instead has come to see itself for what it is: the world leader in IC manufacturing technologies.

But really its even better than that. Intel can now choose between three different roles: it can be the architect (using it's own IA, or its new acquisition IP), or architect/builder (once again using it's own IA, or its new acquisition IP), or simply act as the builder.

About a year ago it bought an FPGA company called Altera and just recently acquired another company called Nervana for its machine-learning technology.

Intel didn't throw out the baby with proverbial bath water by thinking to replace the default ARM processors with its own IA. This was a smart move for a couple of different reasons: 1) going to IA would have been expensive and demonstrated that Intel couldn't think beyond using its own architecture, and 2) sticking with the ARM cores kept the existing Altera customer base happy.

Intel acquired Nervana not specifically for its machine-learning ASIC (Application Specific Integrated Circuit) but more so for its machine-learning algorithms and tools.

An interesting note is both FPGAs and ASICs are custom silicon that lend themselves – via the programmable logic blocks – into being engines optimized for running machine-learning algorithms. The way I understand it, machine-learning at a high level is about things like pattern recognition by being able to dynamically model complex statistical relationships among phenomena. More importantly stated, machine-learning is a precursor to artificial intelligence (AI).

And everyone these days are building their own custom silicon – Google, IBM, Facebook, Amazon, and now Intel. Why? Because application specific processing engines gets the job done quicker, smarter, and in the long run cheaper.

So in my humble opinion, this new relationship w/ CEA-Leti is just another explicit example of Intel's technology investment prowess.

realjjj
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CEO
...
realjjj   9/27/2016 12:19:27 PM
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10 times faster than what? Low BW IoT or faster than 5G? What's needed most is very low power high BW.

 

It would all tie together if they wouldn't focus too much on what partners think as their vision is often distorted by empty hope and financial needs. Intel, for example, needs to sell servers and that distorts their vision.

Glasses- very low power everything and neuromorphic fit well -maybe CoolCube and very low power high bandwidth connectivity. Glasses are by far the most demanding form factor and that makes it the most important as everything can trickle down to other segments.

Robots-  the core technologies enabling glasses can be put to great use but a few more things are needed.

Server- anything that's very efficient can be applied here.

IoT is everything and nothing but one can look at IoT as a type of robot.

 

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