Earlier quoted context omitted.
There is a tiny one in the iPhone 7. But, that's for flexibility on current tasks not future proofing. In terms of AI there is little reason to run it on the phone unless it's heavily used or needs or be low latency. Consider if they add a 100$ of computing power to a phone that sits unused 99% of the time they can just build a server using those same 100$ worth of parts that can then serve 100 phones saving 90+$ per…
Privacy is another reason to keep the computation local.
Apple Is Working on a Dedicated Chip to Power AI on Devices
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Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#72Earlier quoted context omitted.
There is a tiny one in the iPhone 7. But, that's for flexibility on current tasks not future proofing. In terms of AI there is little reason to run it on the phone unless it's heavily used or needs or be low latency. Consider if they add a 100$ of computing power to a phone that sits unused 99% of the time they can just build a server using those same 100$ worth of parts that can then serve 100 phones saving 90+$ per…
Privacy is another reason to keep the computation local.
Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#73Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#74Could this mean on-device ANI? My deal breaker with Amazon, Google, Microsoft and even Siri is their role in normalising the hoovering up of sensitive data.
Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#75Good. But Google beat them to it already.
Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#76Earlier quoted context omitted.
Google has their Tensor Flow. chips, I would imagine it is similar.
Is there released documentation on the instruction set of the Google Cloud TPU?
https://drive.google.com/file/d/0Bx4hafXDDq2EMzRNcy1vSUxtcEk...
It's mainly moving memory around, matrix multiplication, convolution, and applying activation functions (sigmoid, tanh, relu, etc.). Very simple, high-level stuff. This has the handy side-effect of making timing very predictable, which makes the latency a lot more deterministic.
Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#77Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#78Earlier quoted context omitted.
Good luck getting any of the big players to acknowledge that. >.<
That's exactly why Apple does things like analyze your photo library locally on the phone - for privacy.
Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#79Earlier quoted context omitted.
You don't put an FPGA in a device you're going to sell 200M+ of. The cost per unit would be way higher than an asic, and your just going to come out with a better version next year anyway so why bother? I foresee it as similar to their M series co-processors - the first one was pretty basic, and more sensors and jobs have been given to the newer ones each year.
IIRC there's already an FPGA in the iPhone.
Re: Apple Is Working on a Dedicated Chip to Power AI on Devices
#80Earlier quoted context omitted.
I'd bet on this being an ASIC, doing this on an FPGA with any serious size matrix would require a very expensive FPGA, whereas an ASIC would allow more gates in a smaller volume and would consume less power to boot. From the manufacturers point of view phones not being future proof is a feature, not a bug, that way you'll upgrade to that new shiny item which will keep the profits rolling in.
> From the manufacturers point of view phones not being future proof is a feature, not a bug, that way you'll upgrade to that new shiny item which will keep the profits rolling in. I don't think a better AI chip will be a convincing argument to change a phone one year later.