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Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

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Re: Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

#11

Post by tnecniv »

astrodust wrote: post #6
mistermann wrote: post #3

I would love to hear any opinions on how one might invest in this, the no-brainer Nvidia has had a huge run already, although I wouldn't be surprised if it was double from here in a year's time.

It really depends on how the market shapes up. You might see one software company rise to dominance where they interoperate with different platforms interchangeably, or you might see a single hardware vendor come to dominate a number of much smaller software vendors. NVidia is the horse to bet on now, but it remains to be seen how they can can expand beyond their current model of leaning heavily on their GPU technolo…

There's the Jetson boards, which are ARM + an NVidia GPU wrapped into one small package.

Re: Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

#13

Post by lern_too_spel »

grabcocque wrote: post #12

For a millisecond I thought Intel were doing something new and interesting. Neuromorphic or neuromeristive architectures maybe. Nope it's just some rebranded x86 cores.

Nervana TPUs aren't rebranded x86 cores. They aren't neuromorphic either, and I don't know what neuromeristive is.

Re: Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

#14

Post by pjreddie »

mistermann wrote: post #3

I would love to hear any opinions on how one might invest in this, the no-brainer Nvidia has had a huge run already, although I wouldn't be surprised if it was double from here in a year's time.

If Intel is smart they will invest heavily into library development. Researchers use whatever is fast and right now cuda is fast, not just because nvidia has the best GPUs (it's about even) but because the primitives in cuda are so much faster. Matrix multiplication on the same hardware is like 3x faster in cuda than opencl or competing libraries and using the neutral networking primitives is even faster. Intel needs to invest in good, low level libraries so researchers can hack on their platform, build new things, etc. Ultimately I think researchers drive what platform gets widely used since training takes so much longer than inference.

Re: Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

#16

Post by mikepurvis »

pjreddie wrote: post #14
mistermann wrote: post #3

I would love to hear any opinions on how one might invest in this, the no-brainer Nvidia has had a huge run already, although I wouldn't be surprised if it was double from here in a year's time.

If Intel is smart they will invest heavily into library development. Researchers use whatever is fast and right now cuda is fast, not just because nvidia has the best GPUs (it's about even) but because the primitives in cuda are so much faster. Matrix multiplication on the same hardware is like 3x faster in cuda than opencl or competing libraries and using the neutral networking primitives is even faster. Intel needs…

See OpenCV and TBB for examples (from Intel) of this strategy at work.

Re: Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

#17

Post by dontreact »

Teever wrote: post #10
astrodust wrote: post #6

Earlier quoted context omitted.

It really depends on how the market shapes up. You might see one software company rise to dominance where they interoperate with different platforms interchangeably, or you might see a single hardware vendor come to dominate a number of much smaller software vendors. NVidia is the horse to bet on now, but it remains to be seen how they can can expand beyond their current model of leaning heavily on their GPU technolo…

They don't necessarily have to scale down to get the benefits of AI in side smaller devices such as robotics. There's no reason why the robotics devices can't or won't be equipped with a variety of radios to facilitate communication. The AI agent can easily be somewhere centralized where power isn't a big deal. Then the robot stops being analogous to an animal with it's own brain and starts being something more like…

At least two good reasons that you would have things running locally: Latency sensitive applications Privacy sensitive applications

Re: Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

#18

Post by imaginenore »

john_reel wrote: post #15
grabcocque wrote: post #12

For a millisecond I thought Intel were doing something new and interesting. Neuromorphic or neuromeristive architectures maybe. Nope it's just some rebranded x86 cores.

Do you mind explaining those architectures?

I think he means something along the lines of this IBM chip:

https://www.wired.com/2014/08/ibm-unveils-a-brain-like-chip-...

Re: Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

#19

Post by duaneb »

zump wrote: post #4
arcanus wrote: post #2

Hardware battle over AI platforms is heating up. Will be interesting if Intel can catch nvidia, or GPUs in general.

As someone who works in the semiconductor industry, I'm worried that joining an AI hardware company is a risky move that will falter just like General Magic and other hyped hardware startups.

Thankfully none of the major players are startups.

Re: Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence

#20

Post by eloff »

Teever wrote: post #10
astrodust wrote: post #6

Earlier quoted context omitted.

It really depends on how the market shapes up. You might see one software company rise to dominance where they interoperate with different platforms interchangeably, or you might see a single hardware vendor come to dominate a number of much smaller software vendors. NVidia is the horse to bet on now, but it remains to be seen how they can can expand beyond their current model of leaning heavily on their GPU technolo…

They don't necessarily have to scale down to get the benefits of AI in side smaller devices such as robotics. There's no reason why the robotics devices can't or won't be equipped with a variety of radios to facilitate communication. The AI agent can easily be somewhere centralized where power isn't a big deal. Then the robot stops being analogous to an animal with it's own brain and starts being something more like…

Oh god, imagine being in a self driving car that does it's computing in the cloud - and then you enter a tunnel.

Obviously cars are not really power or space limited and they can't rely in connectivity. But it's funny to think about anyway.

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